551 citations · 696 across the 7 of their papers we have counts for
19 papers · 1 filter
Implicit differentiation of variational quantum algorithms
Shahnawaz Ahmed, Nathan Killoran, Juan Felipe Carrasquilla Álvarez
Several quantities important in condensed matter physics, quantum information, and quantum chemistry, as well as quantities required in meta-optimization of machine learning algori…
Quantum computing with differentiable quantum transforms
Olivia Di Matteo, Josh Izaac, Tom Bromley +6
We present a framework for differentiable quantum transforms. Such transforms are metaprograms capable of manipulating quantum programs in a way that preserves their differentiabil…
Quantum circuits with many photons on a programmable nanophotonic chip
J. M. Arrazola, V. Bergholm, K. Brádler +36
Growing interest in quantum computing for practical applications has led to a surge in the availability of programmable machines for executing quantum algorithms. Present day photo…
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…
Applications of Near-Term Photonic Quantum Computers: Software and Algorithms
Thomas R. Bromley, Juan Miguel Arrazola, Soran Jahangiri +7
Gaussian Boson Sampling (GBS) is a near-term platform for photonic quantum computing. Recent efforts have led to the discovery of GBS algorithms with applications to graph-based pr…
Transfer learning in hybrid classical-quantum neural networks
Andrea Mari, Thomas R. Bromley, Josh Izaac +2
We extend the concept of transfer learning, widely applied in modern machine learning algorithms, to the emerging context of hybrid neural networks composed of classical and quantu…