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- University of TorontoCA13 papers
- University of WaterlooCA11 papers
- Massachusetts Institute of TechnologyUS7 papers
- Vector InstituteCA7 papers
- Freie Universität BerlinDE6 papers
- Institute of Photonic SciencesES6 papers
- Perimeter InstituteCA6 papers
- University of CologneDE6 papers
- Barcelona Institute of Science and TechnologyES5 papers
- Universität UlmDE5 papers
- University of PaviaIT5 papers
- University of YorkGB5 papers
13 papers · 1 filter
Expressive power of complex-valued restricted Boltzmann machines for solving non-stoquastic Hamiltonians
Chae-Yeun Park, Michael J. Kastoryano
Variational Monte Carlo with neural network quantum states has proven to be a promising avenue for evaluating the ground state energy of spin Hamiltonians. However, despite continu…
Exact and approximate continuous-variable gate decompositions
Timjan Kalajdzievski, Nicolás Quesada
We gather and examine in detail gate decomposition techniques for continuous-variable quantum computers and also introduce some new techniques which expand on these methods. Both e…
Blueprint for a Scalable Photonic Fault-Tolerant Quantum Computer
J. Eli Bourassa, Rafael N. Alexander, Michael Vasmer +10
Photonics is the platform of choice to build a modular, easy-to-network quantum computer operating at room temperature. However, no concrete architecture has been presented so far…
The effect of data encoding on the expressive power of variational quantum machine learning models
Maria Schuld, Ryan Sweke, Johannes Jakob Meyer
Quantum computers can be used for supervised learning by treating parametrised quantum circuits as models that map data inputs to predictions. While a lot of work has been done to…
Error mitigation on a near-term quantum photonic device
Daiqin Su, Robert Israel, Kunal Sharma +3
Photon loss is destructive to the performance of quantum photonic devices and therefore suppressing the effects of photon loss is paramount to photonic quantum technologies. We pre…
Estimating the gradient and higher-order derivatives on quantum hardware
Andrea Mari, Thomas R. Bromley, Nathan Killoran
For a large class of variational quantum circuits, we show how arbitrary-order derivatives can be analytically evaluated in terms of simple parameter-shift rules, i.e., by running…