193 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of BristolGB3 papers
- Boehringer Ingelheim (Austria)AT2 papers
- Pacific Northwest National LaboratoryUS2 papers
- University of ExeterGB2 papers
- Amsterdam University of Applied SciencesNL1 paper
- Centre for Quantum Computation and Communication TechnologyAU1 paper
- Covestro (Germany)DE1 paper
- International Iberian Nanotechnology LaboratoryPT1 paper
- Laboratoire de Physique des PlasmasFR1 paper
- Microsoft (United States)US1 paper
- Pasqal (France)FR1 paper
- Qualcomm (United Kingdom)GB1 paper
6 papers · 1 filter
Quantum Model Learning Agent: characterisation of quantum systems through machine learning
Brian Flynn, Antonio Andreas Gentile, Nathan Wiebe +2
Accurate models of real quantum systems are important for investigating their behaviour, yet are difficult to distill empirically. Here, we report an algorithm -- the Quantum Model…
The Impact of Hardware Specifications on Reaching Quantum Advantage in the Fault Tolerant Regime
Mark Webber, Vincent Elfving, Sebastian Weidt +1
We investigate how hardware specifications can impact the final run time and the required number of physical qubits to achieve a quantum advantage in the fault tolerant regime. Wit…
Generalized quantum circuit differentiation rules
Oleksandr Kyriienko, Vincent E. Elfving
Variational quantum algorithms that are used for quantum machine learning rely on the ability to automatically differentiate parametrized quantum circuits with respect to underlyin…
Solving nonlinear differential equations with differentiable quantum circuits
Oleksandr Kyriienko, Annie E. Paine, Vincent E. Elfving
We propose a quantum algorithm to solve systems of nonlinear differential equations. Using a quantum feature map encoding, we define functions as expectation values of parametrized…
Learning models of quantum systems from experiments
Antonio A. Gentile, Brian Flynn, Sebastian Knauer +6
An isolated system of interacting quantum particles is described by a Hamiltonian operator. Hamiltonian models underpin the study and analysis of physical and chemical processes th…
Simulating quantum chemistry in the seniority-zero space on qubit-based quantum computers
Vincent E. Elfving, Marta Millaruelo, José A. Gámez +1
Accurate quantum chemistry simulations remain challenging on classical computers for problems of industrially relevant sizes and there is reason for hope that quantum computing may…