Prosperity Partnership in Quantum Software for Modeling and Simulation

Lead Research Organisation: University College London
Department Name: Computer Science

Abstract

Nature, at it deepest level, is notoriously difficult to model, as quantum mechanical effects cause the size of the problems to grow exponentially. This poses major challenges in the accurate simulation of molecules and crystals, thus limiting the power of computers to drive major advances in the development of new materials (from batteries and solar cells to superconductors), new chemical processes (designing better catalysts) and new drugs (engineering molecules for desired biological and pharmacological effects). Each of these challenges can be addressed through tools we will help establish in this Prosperity Partnership.

As Feyman observed, the best (and indeed only) way to accurately compute the behaviour of such quantum mechanical systems is to build a computer whose inner workings are fundamentally based on those same quantum mechanical principles. Such so-called 'quantum computers' require radically new hardware able to represent and maintain information in exotic quantum states involving superposition (where quantum bits can be 0 and 1) and entanglement. Major advances are being made world-wide using a variety of hardware platforms, and amongst the leading quantum processors today are those being developed at Google, based on superconducting circuits. In 2018, Google expects to announce a processor with 49 high-quality quantum bits - although this number may seem small compared to the billions of transistors in conventional processor chips, this 49-qubit processor will, we expect, demonstrate the ability to solve a computational problem beyond the capabilities of our most capable supercomputers. This first demonstration of quantum 'advantage' using a quantum processor chip, opens the door for a new research approach looking to characterise and harness the the capabilities of this new hardware and develop applications in the simulation and modeling of materials and molecules.

The Partnership brings together the University of Bristol and UCL and their research groups with long-standing expertise in the theory of quantum computing and simulation, and Google, a world leader in the design and development of advanced quantum computing hardware based on superconducting qubits. Our goal is to develop new and improved algorithms, verification techniques and benchmarks for simulation of quantum systems on near-term quantum computers, which we will implement and demonstrate on Google's hardware. Such an industrial-academic collaboration would have been impossible a few years ago; now working together in this way is essential to efficiently address the main challenges in this area, as our ability to able to run and test problems on real quantum hardware will have a dramatic effect on the pace of quantum application development. In addition, the Partnership includes two UK startups developing quantum software and "quantum-inspired" software sphere, playing a strong role in the development of commercial applications of the results of this project. Through the Partnership, we will therefore build the foundation of a quantum software industry in the UK, with a specific focus on quantum simulation.

Our programme is organised around a set of four main Challenges:

- How can we optimise quantum simulation algorithms for imperfect quantum computers?
- How do we test the behaviour of a quantum machine if it is classically un-simulatable?
- What are the potential applications of quantum simulations in the medium term?
- Can we quantify the computational complexity of problems and use this to improve algorithms?

Each of these raises issues that are both fundamental and practical: the former involving the development of tools that can reframe these questions in a quantifiable way and the latter in in the formulation of explicit practical tests that can be implemented on current devices. In addressing these questions, we aim to develop a firm basis for the development of quantum software well-adapted to current architectures

Planned Impact

Economic Impacts
Quantum simulators and pre-error corrected quantum processors are instruments for discovery that can be expected to lead to disruptive advances in a range of sectors. They have the strong potential to lead to innovative products in the *chemical, automotive, and pharmaceutical* industries via the simulation and modelling of nanoscale dynamics and molecules far beyond the reach of today's most advanced tools which cannot, for example, accurately simulate the behaviour of the rechargeable lead-acid traction batteries used in electrical vehicles. Our partnership will help establish a *UK ecosystem in quantum software*, with new businesses focused on quantum application development, working with quantum hardware developers and end-users.

Scientific and Technical Impacts
Our Partnership addresses four key challenges in the development of quantum software for simulation and modeling on near-term quantum hardware, each delivering important impacts:

- A toolset for optimising quantum simulation algorithms for imperfect quantum computers
- A toolset for characterising quantum processors that are classically unsimulatable
- A detailed landscape of near-to-medium term quantum simulation applications, with resource requirements
- An quantitative understanding of the computational complexity of quantum simulation and modeling problems, leading to improved algorithms

To maximise the dissemination of impact in these areas, all our papers will be posted on completion to the arXiv.org open-access pre-print server. Through the development of optimised quantum algorithms for quantum simulation, our research will lead to profoundly new *scientific tools* for industry and academia in the modeling of molecules and materials.

Societal Impacts
The anticipated impacts of practical quantum software applications span a number of societal areas, including *health and wellbeing* (through quantum software for quantum chemistry, a problem at the core of novel drug design), and *connectivity* (through quantum software for data analysis and machine learning, inspired from our understanding of the computational capabilities of early-stage quantum hardware). An improved awareness of the capabilities of near-term quantum computers is likely also to simulate adoption of post-quantum cryptographic methods, leading to improvements in data *security*. Quantum computing continues to grow in prominence in the public imagination and our goal of developing software able to show *useful* advances over classical computing in simulation and modeling using *near-term* quantum processors will play a significant role in the *public discourse* around the actual potential of quantum computers. Our Partnership members (from both academia and industry) have a strong track records in public engagement through lectures, videos and events, which will help maximise this impact, and we will be strongly supported by the Responsible Research and Innovation and Public Engagement teams at UCL and Bristol.

Skills and Training Impacts
Our Partnership brings together dynamic teams from two UK universities, a high-profile international company Google, recent start-ups PhaseWorks and GTN, as well the National Physical Laboratory, offering a unique combination of expertise in quantum information science and breadth of academic, corporate and entrepreneurial environments. Together, these provide a highly attractive and fertile framework for the training of researchers at the Masters, PhD and post-PhD level, helping to establish a skilled *people pipeline* for the UK's emerging quantum software industry. This impact is further supported by close connection with two of the UK's Centres for Doctoral Training in Quantum Technology at UCL and Bristol.

Publications

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Bausch J (2021) Uncomputability of phase diagrams. in Nature communications

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Bausch J (2021) Uncomputability of phase diagrams. in Nature communications

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Blake M (2020) Quantum Circuits with Classically Simulable Operator Scrambling. in Physical review letters

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Patterson A (2021) Quantum state discrimination using noisy quantum neural networks in Physical Review Research

 
Description EPSRC Hub in Quantum Computing and Simulation
Amount £23,960,280 (GBP)
Funding ID EP/T001062/1 
Organisation Engineering and Physical Sciences Research Council (EPSRC) 
Sector Public
Country United Kingdom
Start 12/2019 
End 11/2024
 
Description Balderton Probably Quantum 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact Invited to serve on an expert panel discussion at an event run by Balderton, a venture capital firm, on Quantum Computing, focused on engaging with the investment community on opportunities in quantum computing.
Year(s) Of Engagement Activity 2019
 
Description Guardian article on Quantum Engineers 
Form Of Engagement Activity A press release, press conference or response to a media enquiry/interview
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Public/other audiences
Results and Impact Guardian interview on the skills shortage in quantum computing. Opening of article focuses on our lab, and several quotes from me and my research group follow.

"There is a laboratory deep within University College London (UCL) that looks like a cross between a rebel base in Star Wars and a scene imagined by Jules Verne. Hidden within the miles of cables, blinking electronic equipment and screens is a gold-coloured contraption known as a dilution refrigerator. Its job is to chill the highly sensitive equipment needed to build a quantum computer to close to absolute zero, the coldest temperature in the known universe. Standing around the refrigerator are students from Germany, Spain and China, who are studying to become members of an elite profession that has never existed before: quantum engineering. These scientists take the developments in quantum mechanics over the past century and turn them into revolutionary real-world applications."

https://www.theguardian.com/education/2020/jan/15/how-can-we-compete-with-google-the-battle-to-train-quantum-coders
Year(s) Of Engagement Activity 2020
 
Description Quantum Computing Business (QCB), Paris, France 
Form Of Engagement Activity A talk or presentation
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Industry/Business
Results and Impact Invited to speak at a panel discussion on Quantum Computing at "Quantum Computing Business (QCB), Paris, France" in June 2019
Year(s) Of Engagement Activity 2019
 
Description Quantum Computing Working Group 
Form Of Engagement Activity A formal working group, expert panel or dialogue
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Policymakers/politicians
Results and Impact Participation in government working group coordinated by BEIS on Quantum Computing
Year(s) Of Engagement Activity 2020
 
Description UCLQ Annual Event 2019 
Form Of Engagement Activity Participation in an activity, workshop or similar
Part Of Official Scheme? No
Geographic Reach National
Primary Audience Industry/Business
Results and Impact UCLQ Annual Event Entitled Quantum Computing in 10 years time, including 5 presentations and a panel discussion, and networking event.
Approximately 80 attendees from industry, academia, government and the media
Year(s) Of Engagement Activity 2020
 
Description UCLQ Website 
Form Of Engagement Activity Engagement focused website, blog or social media channel
Part Of Official Scheme? No
Geographic Reach International
Primary Audience Postgraduate students
Results and Impact The UCLQ website contains a number of engagement pieces aimed at different audiences, from pedagogical videos for the general public, to interviews with international research visitors, to case studies showcasing industrial collaboration and a spotlight on our spin-out companies. There are active Twitter and Instagram feeds which we use to showcase the research activities coming out of UCLQ and the associated grants.
Year(s) Of Engagement Activity 2017,2018,2019,2020
URL http://www.ucl.ac.uk/quantum