An International Network on Quantum Annealing
INQA Conference 2024 - Save the date!
October 16th-18th 2024 in Toyko, Japan
The International Network on Quantum Annealing (INQA) will for the first time establish a mechanism by which four global collaborations come together to share technical and intellectual know-how and critically analyse developments in theoretical and experimental research in quantum annealing.
- 21 February 2024 | 01:00 UTC | Ken McElvain | University of California, Berkeley
The Fermionic Schrodinger Equation in AQC
Textbook quantum mechanics problems have proven to be challenging to encode efficiently for quantum computers. In this talk I present work on finding the ground state of the position space Schrodinger equation with identical fermions using adiabatic quantum computation (AQC). Two new techniques, entanglement gadgets and operator filtering are also developed in support of this goal. This work builds on earlier work for distinguishable particles.
- 27 February 2024 | 09:00 UTC | Yuichiro Mori | AIST
A proposal of expressive quantum supervised machine learning with Kerr-nonlinear cavities
Quantum machine learning with variational quantum algorithms (VQA) has been studied well as an application of near-term quantum computers. Recently, some researchers have revealed that we need the data reuploading, which repeatedly encode classical data into quantum circuit, to obtain expressibility in quantum machine learning model in the conventional quantum computing architecture. However, the data reuploding tends to require large amount of quantum resources, which motivates us to find an alternative idea to realize moreexpressive quantum machine learning efficiently. In this talk, we propose a quantum machine learning with Kerr-nonlinear cavities. The key idea is that we use not only the ground state and first excited state but also use higher excited states, which allows us to use a larger Hilbert space even if we have a single cavity. Our numerical simulations show that the expressibility of our method with only one Kerr-nonlinear cavity can be much higher than that of the conventional method with six qubits. Our results pave the way towards resource efficient quantum machine learning, which is essential for the practical applications in the NISQ era.
Visit past seminars to view a list of all of our past seminars and their abstracts.
If you miss any of our live seminars you can watch our previous sessions on our YouTube Channel.
The INQA network unifies the research activities of major global collaborations in quantum annealing in North America, Japan, the European Union and the United Kingdom.
By hosting weekly on-line seminars and annual international conferences and by funding exchange visits, the INQA network will address the key topics which will enable quantum annealing to move towards a true quantum scaling advantage over classical approaches to NP-hard computational problems.
The topics INQA will focus on include:
- Exploiting quantum coherence,
- Extending the order and degree of qubit interactions,
- Strategies for error correction and,
- Exploiting diabaticity and non-stoquasticity in a systematic way.
The network will be led by Professor Paul Warburton of UCL, who is a co-investigator in the UK’s Quantum Computation and Simulation (QCS) Hub and in the recently-announced QEVEC project. He was also previously a co-investigator in the US-led QEO and QAFS collaborations.
Members of the management board include:
- Prof Paul Warburton (UCL, UK)
- Dr Pol Forn-Díaz (IFAE, Spain)
- Dr Shiro Kawabata (AIST, Japan)
- Prof Viv Kendon (University of Strathclyde, UK)
- Dr Jamie Kerman (MIT Lincoln Lab, USA)
INQA is supported by a International Network Grant from the UK Engineering and Physical Sciences Research Council.
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