BSc (Hons) or MPhys — 2025 entry Physics with Quantum Computing

This module covers some of the fundamental principles in classical physics including a discussion of units of measurement, the kinematics and dynamics of objects and conservation laws. This material revises and builds upon concepts that are first encountered in the A-level physics course and the study of mechanics as part of A-level mathematics.

This module is designed to provide essential underpinning skills for the whole programme in the mathematics needed by physical scientists. The mathematics units of assessment are delivered on a supervised self-study basis - to allow flexible learning patterns to students with different mathematics skills and knowledge levels at University entry. The delivery method is by supported workshop classes and occasional lectures to introduce new topics, as required. The Essential Mathematics module consolidates and enhances mathematical skills to beyond (A2) Advanced Level standard, providing the mathematical foundations needed for subsequent Level FHEQ 4 Mathematics components and for the introductory Physics modules at Level FHEQ 4.  

This module covers a wide range of generic skills important in scientific investigation. These skills cover data handling, statistical analysis, Python programming skills, scientific writing, ethics (including academic misconduct), group working covering problem-solving, and public communication, plus library-based information research skills including information retrieval and referencing.

This module covers introductory concepts of simple harmonic motion and waves, drawing on and bringing together examples from different branches of physics including mechanics, optics, electronics, and electromagnetism. Some of these concepts will build upon examples that may have been encountered as part of the Physics A-level material but others are new. It combines the mathematical description, physical interpretation as well as experiments and their analysis of oscillations and wave phenomena to provide students with a well-balanced introduction to the important physical concepts that are required for further study in the subsequent modules of your physics course.

This module introduces many of the fundamental concepts in astronomy, cosmology and relativity theory. It begins with classical (Newtonian) celestial mechanics, properties of stars and galaxies and some of the tools required in observation in Astronomy. Then it moves on to outline the concepts which underpin Einstein’s Special and General theories of relativity discussing events and physical phenomena from different frames of reference and in different co-ordinate systems, and the way in which mathematics relates these descriptions. Concepts of inertial frames of reference, Lorentz transformations, invariants, and elementary relativity principles and covariance, will be introduced, as well as a discussion of the ideas underpinning the general theory of relativity: principle of equivalence and curvature of space-time. Big Bang cosmology will be introduced and cover current views of the origins of the universe and its constituent parts (cosmic microwave background, inflation, black holes, dark matter and dark energy). A study of the history of astronomy and the various philosophical and scientific cosmological models throughout history will take place in a series of lectures, entitled The History of Ideas, throughout the semester as part of this module.  

This module builds on the Essential Mathematics module to develop further mathematical and computational skills as an aid to understanding and exploring physics concepts. The mathematics Units of Assessment are taught in lecture-based classes with associated workshop sessions, and cover multi-variable calculus, Fourier Series The computational part of the course consists of a series of assessed exercises, with classroom support, which develop computational problem solving skills, and link in with the mathematics covered elsewhere in the module and in the prerequisite module.

This module will introduce the classical physics that is relevant to gases and condensed matter, making use of the thermodynamic equations of state. The emphasis will be on the structure of matter and its relationship to mechanical and thermal properties, such as elasticity and thermal expansivity. Laws of classical thermodynamics will be introduced. The module will prepare the student for the study of solid state physics and advanced thermodynamics at Level FHEQ 5.

This module identifies the new theories necessary to describe physical processes when we go beyond the normal speeds and sizes experienced in everyday life. A review of new phenomena that led to the development of quantum theory follows naturally into an introduction to the theory of atomic structure. Along the way, the Schrödinger equation is introduced and elementary applications are considered. Several important aspects of the structure and spectroscopy of atoms are considered in detail. The basis is laid for the study of the properties of matter in more detail at higher levels.

This module considers develops both the thermodynamic and statistical descriptions of energy and entropy. In addition it builds on the introductory Level FHEQ 4 computing modules to develop the skills needed for computational physics. The module will explore various meanings and definitions of entropy. Knowledge of thermodynamics will then be applied to problem solving. The module will build upon the knowledge obtained of the laws of thermodynamics introduced in Properties of Matter at Level FHEQ 4. It will introduce additional thermodynamic theory and show how statistical physics allows us to calculate thermodynamic functions such as the entropy. The computational physics component will develop the student’s skills in solving both ordinary and partial differential equations, in the context of both quantum and thermal physics.

The module will introduce the physical significance and the mathematical methods (and selected theorems) of the operators of vector calculus: div, grad and curl in different co-ordinate systems. The module will introduce the partial differential equations of mathematical physics and their solution for selected physical systems involving different co-ordinate systems and involving time. The module will introduce the foundations of electromagnetism, up to Gauss’ Law and Laplace’s equation, as a major application of the vector calculus and partial differential equations techniques.

This module has two independent halves, on crystallography and on optical applications of solids. - The crystallography half-module will describe crystal structures, crystalline lattices and their study with X-rays. It will introduce the concept of quantisation of lattice vibrations (phonons). - The optical applications half-module will describe band theory of solids, how it can be controlled, and how it affects the absorption, reflection, propagation, emission from molecules to nano-materials to bulk solids. Modern optical and photonic devices such as semiconductor lasers, solar cells, nuclear radiation detectors and quantum computer qubits will be introduced.

The Quantum Physics course focuses on the basic formalism of quantum mechanics, its physical interpretation and its application to simple problems. The emphasis is on elementary (one-dimensional) quantum physics, including the infinite-potential well, the parabolic well, one-dimensional step and barrier potentials. 

This module will build on the rudimentary knowledge of Atoms and Quanta taught in Level FHEQ 4 (PHY1039) and apply the ideas taught in the previous Quantum Physics module (PHY2069) to describe the properties of atoms, including the physics behind the full structure of atomic spectra. It will introduce the effects on atoms due to electric and magnetic fields. The physics of diatomic molecules will be discussed, including how spectroscopic techniques can be used to study more complex molecules. Finally by understanding how atoms interact with light, the module will introduce the principles of the laser, including basic explanations of common lasers, such as solid state and gas lasers. The module includes a laboratory component in which ideas from the lectures will be explored experimentally.

The module reprises electrostatics (Gauss’ Law) and proceeds to introduce electromagnetic theory through a development of Maxwell’s Equations and concepts associated with the electric and magnetic polarisation of materials. The module introduces electromagnetic wave theory and its applications to a range of traditional applications and problems as well as the use of Fourier processing for wave signal analysis.

The general properties of nuclei and radioactivity are studied, with an introduction to the deeper structure of elementary particles and the Standard Model. The nuclear physics includes alpha- and beta- and gamma-ray decay, nuclear fission and models of nuclear structure. The high energy physics includes the quark structure of hadrons, CPT conservation and CP violation and the impact of conservation rules on simple reactions of elementary particles.

This module introduces six advanced topics in physics. Students will be assessed on only four of these topics, with individuals self-selecting the contact sessions, coursework options and exam questions that reflect their preference. An indicative list of these six topics include: biological physics, special relativity, physics of electronic & photonic materials, cosmology, nuclear astrophysics, and quantum computing.

Quantum computers are built around a central processing unit which is a physical device operating according to the rules of quantum mechanics. This module teaches the principles of how quantum processors are built and how they function. The module follows the superconducting architecture, which currently has a significant role in the industry and has been widely studied and implemented. The module will start with reviewing the basic physics required to understand superconducting qubits and the theory of superconducting circuits. It will then continue to the operation of such qubits to perform gates, storage, and readout. After studying the basic building blocks and operations, the module will discuss early demonstrations of important algorithms on superconducting processors. These will lead us naturally to the important topics of improving performance through protection of coherence, advanced control, and validation. The last part of the module will focus on state-of-the-art superconducting processors, focusing on the various challenges in scaling up and the strategies that the industry is pursuing to overcome them.

This 30 credit project module is designed to give students the opportunity to explore an area of interest in physics in some depth, either through experimental, theoretical or computational means, or in the form of a literature survey.  The module also develops generic professional skills such as teamwork, scientific writing and professional ethics.  The module involves writing a dissertation and an oral assessment  

This module covers circuit-based quantum computers and some of the algorithms that can be implemented using them. The idea of a classical computational algorithm and its complexity is introduced, and used as a language to discuss quantum computational algorithms. Components of quantum circuits are discussed individually, and then built up to show how algorithms such as the quantum Fourier transform and Grover¿s search algorithm can be implemented, and how such algorithms can be used in applications such as factorizing integers using Shor's algorithm. The Python package qiskit is introduced and used as a tool to implement the algorithms on simulated quantum computers.

This mathematics module is designed to reinforce and broaden basic A-Level mathematics material, develop problem solving skills and prepare students for the more advanced mathematical concepts and problem-solving scenarios in the semester 2 modules.The priority is to develop the students’ ability to solve real- world problems in a confident manner.  The concepts delivered on this module reflect the skills and knowledge required to understand the physical around us. This is vital as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate choices.

This module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include S.I. units and measurement theory, electric and magnetic fields and their interactions, the properties of ideal gases, heat transfer and thermodynamics, fluid statics and dynamics, and engineering instrumentation and measurement. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.

The emphasis of this module is on the development of digital capabilities, academic skills and problem-solving skills. The module will facilitate the development of competency in working with software commonly used to support calculations, analysis and presentation. Microsoft Excel will be used for spreadsheet-based calculations and experimental data analysis. MATLAB will be used as a platform for developing elementary programming skills and applying various processes to novel problem-solving scenarios. The breadth and depth of digital capabilities will be further enhanced by working with HTML, CSS and JavaScript within the GitHub environment to develop a webpage, presenting the student's research project narrative. The project provides students with an opportunity to carry out guided research and prepare an online article on one of many discipline-specific topic choices. Students will develop a wide range of writing, referencing and other important academic skills and learn how to use embedded and/or interactive online content to support the presentation of their online article.

This module builds on ENG0011 Mathematics A and is designed to reinforce and broaden A-Level Calculus, Vectors, Matrices and Complex Numbers. The students will continue to develop their ability to solve real- world problems in a confident manner.  The concepts delivered on this module reflect the skills and knowledge required to understand the physical world around us. This is vital, as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate courses. On completion of the module students are prepared for the more advanced Mathematical concepts and problem solving scenarios in the first year of their Engineering or Physical Sciences degree.

This module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include vectors and scalars, equations of motion under constant acceleration, momentum conservation, simple harmonic motion and wave theory. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.

A foundation level physics module designed to reinforce and broaden basic A-Level Physics material in electricity and electronics, nuclear physics, develop practical skills, and prepare students for the more advanced concepts and applications in the first year of their Engineering or Physical Sciences degree. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported using the university’s virtual learning platform.

During this year-long module, students develop a range of laboratory and transferable skills through both individual laboratory work and group project work. The content of this module is designed to consolidate knowledge gained in ENG0013 (semester 1) and ENG0015/16/17 (semester 2) modules.   Semester 1 focuses on core Engineering and Physical Sciences laboratory work and guides students through the basic skills of laboratory work, recording work in a lab diary, and lab report writing. Alongside this individual laboratory work, students participate in a group project; this involves working in a small group (5-8 students) to design an experiment, collect data, present their experimental findings as an academic poster, and report their findings to peers via a group oral presentation. Students are guided through the development of teamworking, project management, presentation, and digital skills (e.g., in using MS Teams as a group communication platform) whilst working on this project.   Semester 2 provides an opportunity for subject-stream specific practical work (individual) where students will build on the laboratory and lab report writing skills developed in semester 1 to produce a full lab report. Students participate in a further group project in semester 2 where they build upon the skills developed in semester 1.  Students work as a team to find and develop an engineering / physical sciences idea into a potentially viable business case.  Student groups produce a written business case report and pitch their ideas to a panel including University Student Enterprise experts.

This module covers some of the fundamental principles in classical physics including a discussion of units of measurement, the kinematics and dynamics of objects and conservation laws. This material revises and builds upon concepts that are first encountered in the A-level physics course and the study of mechanics as part of A-level mathematics.

This module is designed to provide essential underpinning skills for the whole programme in the mathematics needed by physical scientists. The mathematics units of assessment are delivered on a supervised self-study basis - to allow flexible learning patterns to students with different mathematics skills and knowledge levels at University entry. The delivery method is by supported workshop classes and occasional lectures to introduce new topics, as required. The Essential Mathematics module consolidates and enhances mathematical skills to beyond (A2) Advanced Level standard, providing the mathematical foundations needed for subsequent Level FHEQ 4 Mathematics components and for the introductory Physics modules at Level FHEQ 4.  

This module covers a wide range of generic skills important in scientific investigation. These skills cover data handling, statistical analysis, Python programming skills, scientific writing, ethics (including academic misconduct), group working covering problem-solving, and public communication, plus library-based information research skills including information retrieval and referencing.

This module covers introductory concepts of simple harmonic motion and waves, drawing on and bringing together examples from different branches of physics including mechanics, optics, electronics, and electromagnetism. Some of these concepts will build upon examples that may have been encountered as part of the Physics A-level material but others are new. It combines the mathematical description, physical interpretation as well as experiments and their analysis of oscillations and wave phenomena to provide students with a well-balanced introduction to the important physical concepts that are required for further study in the subsequent modules of your physics course.

This module introduces many of the fundamental concepts in astronomy, cosmology and relativity theory. It begins with classical (Newtonian) celestial mechanics, properties of stars and galaxies and some of the tools required in observation in Astronomy. Then it moves on to outline the concepts which underpin Einstein’s Special and General theories of relativity discussing events and physical phenomena from different frames of reference and in different co-ordinate systems, and the way in which mathematics relates these descriptions. Concepts of inertial frames of reference, Lorentz transformations, invariants, and elementary relativity principles and covariance, will be introduced, as well as a discussion of the ideas underpinning the general theory of relativity: principle of equivalence and curvature of space-time. Big Bang cosmology will be introduced and cover current views of the origins of the universe and its constituent parts (cosmic microwave background, inflation, black holes, dark matter and dark energy). A study of the history of astronomy and the various philosophical and scientific cosmological models throughout history will take place in a series of lectures, entitled The History of Ideas, throughout the semester as part of this module.  

This module builds on the Essential Mathematics module to develop further mathematical and computational skills as an aid to understanding and exploring physics concepts. The mathematics Units of Assessment are taught in lecture-based classes with associated workshop sessions, and cover multi-variable calculus, Fourier Series The computational part of the course consists of a series of assessed exercises, with classroom support, which develop computational problem solving skills, and link in with the mathematics covered elsewhere in the module and in the prerequisite module.

This module will introduce the classical physics that is relevant to gases and condensed matter, making use of the thermodynamic equations of state. The emphasis will be on the structure of matter and its relationship to mechanical and thermal properties, such as elasticity and thermal expansivity. Laws of classical thermodynamics will be introduced. The module will prepare the student for the study of solid state physics and advanced thermodynamics at Level FHEQ 5.

This module identifies the new theories necessary to describe physical processes when we go beyond the normal speeds and sizes experienced in everyday life. A review of new phenomena that led to the development of quantum theory follows naturally into an introduction to the theory of atomic structure. Along the way, the Schrödinger equation is introduced and elementary applications are considered. Several important aspects of the structure and spectroscopy of atoms are considered in detail. The basis is laid for the study of the properties of matter in more detail at higher levels.

This module considers develops both the thermodynamic and statistical descriptions of energy and entropy. In addition it builds on the introductory Level FHEQ 4 computing modules to develop the skills needed for computational physics. The module will explore various meanings and definitions of entropy. Knowledge of thermodynamics will then be applied to problem solving. The module will build upon the knowledge obtained of the laws of thermodynamics introduced in Properties of Matter at Level FHEQ 4. It will introduce additional thermodynamic theory and show how statistical physics allows us to calculate thermodynamic functions such as the entropy. The computational physics component will develop the student’s skills in solving both ordinary and partial differential equations, in the context of both quantum and thermal physics.

The module will introduce the physical significance and the mathematical methods (and selected theorems) of the operators of vector calculus: div, grad and curl in different co-ordinate systems. The module will introduce the partial differential equations of mathematical physics and their solution for selected physical systems involving different co-ordinate systems and involving time. The module will introduce the foundations of electromagnetism, up to Gauss’ Law and Laplace’s equation, as a major application of the vector calculus and partial differential equations techniques.

This module has two independent halves, on crystallography and on optical applications of solids. - The crystallography half-module will describe crystal structures, crystalline lattices and their study with X-rays. It will introduce the concept of quantisation of lattice vibrations (phonons). - The optical applications half-module will describe band theory of solids, how it can be controlled, and how it affects the absorption, reflection, propagation, emission from molecules to nano-materials to bulk solids. Modern optical and photonic devices such as semiconductor lasers, solar cells, nuclear radiation detectors and quantum computer qubits will be introduced.

The Quantum Physics course focuses on the basic formalism of quantum mechanics, its physical interpretation and its application to simple problems. The emphasis is on elementary (one-dimensional) quantum physics, including the infinite-potential well, the parabolic well, one-dimensional step and barrier potentials. 

This module will build on the rudimentary knowledge of Atoms and Quanta taught in Level FHEQ 4 (PHY1039) and apply the ideas taught in the previous Quantum Physics module (PHY2069) to describe the properties of atoms, including the physics behind the full structure of atomic spectra. It will introduce the effects on atoms due to electric and magnetic fields. The physics of diatomic molecules will be discussed, including how spectroscopic techniques can be used to study more complex molecules. Finally by understanding how atoms interact with light, the module will introduce the principles of the laser, including basic explanations of common lasers, such as solid state and gas lasers. The module includes a laboratory component in which ideas from the lectures will be explored experimentally.

The module reprises electrostatics (Gauss’ Law) and proceeds to introduce electromagnetic theory through a development of Maxwell’s Equations and concepts associated with the electric and magnetic polarisation of materials. The module introduces electromagnetic wave theory and its applications to a range of traditional applications and problems as well as the use of Fourier processing for wave signal analysis.

The general properties of nuclei and radioactivity are studied, with an introduction to the deeper structure of elementary particles and the Standard Model. The nuclear physics includes alpha- and beta- and gamma-ray decay, nuclear fission and models of nuclear structure. The high energy physics includes the quark structure of hadrons, CPT conservation and CP violation and the impact of conservation rules on simple reactions of elementary particles.

This module introduces six advanced topics in physics. Students will be assessed on only four of these topics, with individuals self-selecting the contact sessions, coursework options and exam questions that reflect their preference. An indicative list of these six topics include: biological physics, special relativity, physics of electronic & photonic materials, cosmology, nuclear astrophysics, and quantum computing.

Quantum computers are built around a central processing unit which is a physical device operating according to the rules of quantum mechanics. This module teaches the principles of how quantum processors are built and how they function. The module follows the superconducting architecture, which currently has a significant role in the industry and has been widely studied and implemented. The module will start with reviewing the basic physics required to understand superconducting qubits and the theory of superconducting circuits. It will then continue to the operation of such qubits to perform gates, storage, and readout. After studying the basic building blocks and operations, the module will discuss early demonstrations of important algorithms on superconducting processors. These will lead us naturally to the important topics of improving performance through protection of coherence, advanced control, and validation. The last part of the module will focus on state-of-the-art superconducting processors, focusing on the various challenges in scaling up and the strategies that the industry is pursuing to overcome them.

This module covers circuit-based quantum computers and some of the algorithms that can be implemented using them. The idea of a classical computational algorithm and its complexity is introduced, and used as a language to discuss quantum computational algorithms. Components of quantum circuits are discussed individually, and then built up to show how algorithms such as the quantum Fourier transform and Grover¿s search algorithm can be implemented, and how such algorithms can be used in applications such as factorizing integers using Shor's algorithm. The Python package qiskit is introduced and used as a tool to implement the algorithms on simulated quantum computers.

This 30 credit project module is designed to give students the opportunity to explore an area of interest in physics in some depth, either through experimental, theoretical or computational means, or in the form of a literature survey.  The module also develops generic professional skills such as teamwork, scientific writing and professional ethics.  The module involves writing a dissertation and an oral assessment  

This mathematics module is designed to reinforce and broaden basic A-Level mathematics material, develop problem solving skills and prepare students for the more advanced mathematical concepts and problem-solving scenarios in the semester 2 modules.The priority is to develop the students’ ability to solve real- world problems in a confident manner.  The concepts delivered on this module reflect the skills and knowledge required to understand the physical around us. This is vital as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate choices.

This module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include S.I. units and measurement theory, electric and magnetic fields and their interactions, the properties of ideal gases, heat transfer and thermodynamics, fluid statics and dynamics, and engineering instrumentation and measurement. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.

The emphasis of this module is on the development of digital capabilities, academic skills and problem-solving skills. The module will facilitate the development of competency in working with software commonly used to support calculations, analysis and presentation. Microsoft Excel will be used for spreadsheet-based calculations and experimental data analysis. MATLAB will be used as a platform for developing elementary programming skills and applying various processes to novel problem-solving scenarios. The breadth and depth of digital capabilities will be further enhanced by working with HTML, CSS and JavaScript within the GitHub environment to develop a webpage, presenting the student's research project narrative. The project provides students with an opportunity to carry out guided research and prepare an online article on one of many discipline-specific topic choices. Students will develop a wide range of writing, referencing and other important academic skills and learn how to use embedded and/or interactive online content to support the presentation of their online article.

This module builds on ENG0011 Mathematics A and is designed to reinforce and broaden A-Level Calculus, Vectors, Matrices and Complex Numbers. The students will continue to develop their ability to solve real- world problems in a confident manner.  The concepts delivered on this module reflect the skills and knowledge required to understand the physical world around us. This is vital, as mathematics plays a critical role in the students’ future employability and achievement on their respective undergraduate courses. On completion of the module students are prepared for the more advanced Mathematical concepts and problem solving scenarios in the first year of their Engineering or Physical Sciences degree.

This module introduces several principles and processes which underpin most physical science and engineering disciplines, which you are likely to study beyond the Foundation Year. Specifically, you will study topics that include vectors and scalars, equations of motion under constant acceleration, momentum conservation, simple harmonic motion and wave theory. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported by the use of the university’s virtual learning platform.

A foundation level physics module designed to reinforce and broaden basic A-Level Physics material in electricity and electronics, nuclear physics, develop practical skills, and prepare students for the more advanced concepts and applications in the first year of their Engineering or Physical Sciences degree. You will attend several lectures and a tutorial each teaching week alongside guided independent study opportunities to develop your understanding of topics more deeply, supported using the university’s virtual learning platform.

During this year-long module, students develop a range of laboratory and transferable skills through both individual laboratory work and group project work. The content of this module is designed to consolidate knowledge gained in ENG0013 (semester 1) and ENG0015/16/17 (semester 2) modules.   Semester 1 focuses on core Engineering and Physical Sciences laboratory work and guides students through the basic skills of laboratory work, recording work in a lab diary, and lab report writing. Alongside this individual laboratory work, students participate in a group project; this involves working in a small group (5-8 students) to design an experiment, collect data, present their experimental findings as an academic poster, and report their findings to peers via a group oral presentation. Students are guided through the development of teamworking, project management, presentation, and digital skills (e.g., in using MS Teams as a group communication platform) whilst working on this project.   Semester 2 provides an opportunity for subject-stream specific practical work (individual) where students will build on the laboratory and lab report writing skills developed in semester 1 to produce a full lab report. Students participate in a further group project in semester 2 where they build upon the skills developed in semester 1.  Students work as a team to find and develop an engineering / physical sciences idea into a potentially viable business case.  Student groups produce a written business case report and pitch their ideas to a panel including University Student Enterprise experts.

This module covers some of the fundamental principles in classical physics including a discussion of units of measurement, the kinematics and dynamics of objects and conservation laws. This material revises and builds upon concepts that are first encountered in the A-level physics course and the study of mechanics as part of A-level mathematics.

This module is designed to provide essential underpinning skills for the whole programme in the mathematics needed by physical scientists. The mathematics units of assessment are delivered on a supervised self-study basis - to allow flexible learning patterns to students with different mathematics skills and knowledge levels at University entry. The delivery method is by supported workshop classes and occasional lectures to introduce new topics, as required. The Essential Mathematics module consolidates and enhances mathematical skills to beyond (A2) Advanced Level standard, providing the mathematical foundations needed for subsequent Level FHEQ 4 Mathematics components and for the introductory Physics modules at Level FHEQ 4.  

This module covers a wide range of generic skills important in scientific investigation. These skills cover data handling, statistical analysis, Python programming skills, scientific writing, ethics (including academic misconduct), group working covering problem-solving, and public communication, plus library-based information research skills including information retrieval and referencing.

This module covers introductory concepts of simple harmonic motion and waves, drawing on and bringing together examples from different branches of physics including mechanics, optics, electronics, and electromagnetism. Some of these concepts will build upon examples that may have been encountered as part of the Physics A-level material but others are new. It combines the mathematical description, physical interpretation as well as experiments and their analysis of oscillations and wave phenomena to provide students with a well-balanced introduction to the important physical concepts that are required for further study in the subsequent modules of your physics course.

This module introduces many of the fundamental concepts in astronomy, cosmology and relativity theory. It begins with classical (Newtonian) celestial mechanics, properties of stars and galaxies and some of the tools required in observation in Astronomy. Then it moves on to outline the concepts which underpin Einstein’s Special and General theories of relativity discussing events and physical phenomena from different frames of reference and in different co-ordinate systems, and the way in which mathematics relates these descriptions. Concepts of inertial frames of reference, Lorentz transformations, invariants, and elementary relativity principles and covariance, will be introduced, as well as a discussion of the ideas underpinning the general theory of relativity: principle of equivalence and curvature of space-time. Big Bang cosmology will be introduced and cover current views of the origins of the universe and its constituent parts (cosmic microwave background, inflation, black holes, dark matter and dark energy). A study of the history of astronomy and the various philosophical and scientific cosmological models throughout history will take place in a series of lectures, entitled The History of Ideas, throughout the semester as part of this module.  

This module builds on the Essential Mathematics module to develop further mathematical and computational skills as an aid to understanding and exploring physics concepts. The mathematics Units of Assessment are taught in lecture-based classes with associated workshop sessions, and cover multi-variable calculus, Fourier Series The computational part of the course consists of a series of assessed exercises, with classroom support, which develop computational problem solving skills, and link in with the mathematics covered elsewhere in the module and in the prerequisite module.

This module will introduce the classical physics that is relevant to gases and condensed matter, making use of the thermodynamic equations of state. The emphasis will be on the structure of matter and its relationship to mechanical and thermal properties, such as elasticity and thermal expansivity. Laws of classical thermodynamics will be introduced. The module will prepare the student for the study of solid state physics and advanced thermodynamics at Level FHEQ 5.

This module identifies the new theories necessary to describe physical processes when we go beyond the normal speeds and sizes experienced in everyday life. A review of new phenomena that led to the development of quantum theory follows naturally into an introduction to the theory of atomic structure. Along the way, the Schrödinger equation is introduced and elementary applications are considered. Several important aspects of the structure and spectroscopy of atoms are considered in detail. The basis is laid for the study of the properties of matter in more detail at higher levels.

This module considers develops both the thermodynamic and statistical descriptions of energy and entropy. In addition it builds on the introductory Level FHEQ 4 computing modules to develop the skills needed for computational physics. The module will explore various meanings and definitions of entropy. Knowledge of thermodynamics will then be applied to problem solving. The module will build upon the knowledge obtained of the laws of thermodynamics introduced in Properties of Matter at Level FHEQ 4. It will introduce additional thermodynamic theory and show how statistical physics allows us to calculate thermodynamic functions such as the entropy. The computational physics component will develop the student’s skills in solving both ordinary and partial differential equations, in the context of both quantum and thermal physics.

The module will introduce the physical significance and the mathematical methods (and selected theorems) of the operators of vector calculus: div, grad and curl in different co-ordinate systems. The module will introduce the partial differential equations of mathematical physics and their solution for selected physical systems involving different co-ordinate systems and involving time. The module will introduce the foundations of electromagnetism, up to Gauss’ Law and Laplace’s equation, as a major application of the vector calculus and partial differential equations techniques.

This module has two independent halves, on crystallography and on optical applications of solids. - The crystallography half-module will describe crystal structures, crystalline lattices and their study with X-rays. It will introduce the concept of quantisation of lattice vibrations (phonons). - The optical applications half-module will describe band theory of solids, how it can be controlled, and how it affects the absorption, reflection, propagation, emission from molecules to nano-materials to bulk solids. Modern optical and photonic devices such as semiconductor lasers, solar cells, nuclear radiation detectors and quantum computer qubits will be introduced.

The Quantum Physics course focuses on the basic formalism of quantum mechanics, its physical interpretation and its application to simple problems. The emphasis is on elementary (one-dimensional) quantum physics, including the infinite-potential well, the parabolic well, one-dimensional step and barrier potentials. 

This module will build on the rudimentary knowledge of Atoms and Quanta taught in Level FHEQ 4 (PHY1039) and apply the ideas taught in the previous Quantum Physics module (PHY2069) to describe the properties of atoms, including the physics behind the full structure of atomic spectra. It will introduce the effects on atoms due to electric and magnetic fields. The physics of diatomic molecules will be discussed, including how spectroscopic techniques can be used to study more complex molecules. Finally by understanding how atoms interact with light, the module will introduce the principles of the laser, including basic explanations of common lasers, such as solid state and gas lasers. The module includes a laboratory component in which ideas from the lectures will be explored experimentally.

The module reprises electrostatics (Gauss’ Law) and proceeds to introduce electromagnetic theory through a development of Maxwell’s Equations and concepts associated with the electric and magnetic polarisation of materials. The module introduces electromagnetic wave theory and its applications to a range of traditional applications and problems as well as the use of Fourier processing for wave signal analysis.

The general properties of nuclei and radioactivity are studied, with an introduction to the deeper structure of elementary particles and the Standard Model. The nuclear physics includes alpha- and beta- and gamma-ray decay, nuclear fission and models of nuclear structure. The high energy physics includes the quark structure of hadrons, CPT conservation and CP violation and the impact of conservation rules on simple reactions of elementary particles.

This module introduces six advanced topics in physics. Students will be assessed on only four of these topics, with individuals self-selecting the contact sessions, coursework options and exam questions that reflect their preference. An indicative list of these six topics include: biological physics, special relativity, physics of electronic & photonic materials, cosmology, nuclear astrophysics, and quantum computing.

Quantum computers are built around a central processing unit which is a physical device operating according to the rules of quantum mechanics. This module teaches the principles of how quantum processors are built and how they function. The module follows the superconducting architecture, which currently has a significant role in the industry and has been widely studied and implemented. The module will start with reviewing the basic physics required to understand superconducting qubits and the theory of superconducting circuits. It will then continue to the operation of such qubits to perform gates, storage, and readout. After studying the basic building blocks and operations, the module will discuss early demonstrations of important algorithms on superconducting processors. These will lead us naturally to the important topics of improving performance through protection of coherence, advanced control, and validation. The last part of the module will focus on state-of-the-art superconducting processors, focusing on the various challenges in scaling up and the strategies that the industry is pursuing to overcome them.

The early part of the Research Year involves a combination of developing generic research skills associated being on a research-based physics placement, and acquiring specific skills related to the particular project to enable successful completion of the students own research by the end of the research year. This module reflects parts of the specific skills developed for the students own project in the first half of the Research Year

The work for this module takes place in semester 1 of the student’s fourth academic year, i.e. in the second half of their Research Year placement. During this time, students work under the supervision of a supervisor, using their developed research skills and implementing their project through practical, theoretical or modelling work, along with analysis and presentation of results.   The exact programme of study will depend on the nature of the project and the environment in which it is carried out. The environment will normally be at a University Laboratory but may equally be at a major international government laboratory such as the Rutherford Appleton Laboratory or at regional hospital, or a company with a physics-based research programme.

Quantum Mechanics topics are essential building blocks for our understanding of many physical systems. The module assumes basic knowledge in quantum mechanics from modules in earlier years, but will provide a review at the beginning. Topics include a review of quantum mechanics, operator methods and applications to the harmonic oscillator, spin & angular momentum, symmetries in quantum mechanics. The second half of the module then moves beyond isolated quantum systems by addressing the topic of Quantum Entanglement and Quantum Coherence. Here the important concepts of entanglement and decoherence will be studied by developing an understanding of open quantum systems and the density matrix formalism.

This module comprises two independent halves, on making qubit, and quantum communications. Quantum technologies, including quantum computing, rely on the quantum mechanical principles of superposition and entanglement. Furthermore, this superposition and entanglement needs to be controlled in useful ways. In this module you will learn about what physical systems allow quantum technology production, and their limitations. Quantum computers are only one type of device that uses these principles, and several other technologies are being created that are also enhanced by use of superpositions. Others include atomic clocks and Magnetic Resonance Imaging, MRI. We will also learn about the errors that inevitably build up in quantum computers when quantum superpositions are disturbed, and the strategies that might be built in to correct them. Quantum communications. This course provides a comprehensive introduction to the principles, protocols, and applications of quantum communications. Students will explore the fundamental concepts of quantum information transmission, quantum cryptography, and quantum communication protocols. They will also examine the challenges, advancements, and real-world applications of quantum communications including both theory and practical aspects.