88 citations · 502 across the 15 of their papers we have counts for
15 papers
Wavefunction Flows: Efficient Quantum Simulation of Continuous Flow Models
David Layden, Ryan Sweke, Vojtěch Havlíček +2
Flow models are a cornerstone of modern machine learning. They are generative models that progressively transform probability distributions according to learned dynamics. Specifica…
Theory of quantum error mitigation for non-Clifford gates
David Layden, Bradley Mitchell, Karthik Siva
Quantum error mitigation techniques mimic noiseless quantum circuits by running several related noisy circuits and combining their outputs in particular ways. How well such techniq…
Realizing the Nishimori transition across the error threshold for constant-depth quantum circuits
Edward H. Chen, Guo-Yi Zhu, Ruben Verresen +9
Preparing quantum states across many qubits is necessary to unlock the full potential of quantum computers. However, a key challenge is to realize efficient preparation protocols w…
Quantum-enhanced Markov chain Monte Carlo
David Layden, Guglielmo Mazzola, Ryan V. Mishmash +4
Sampling from complicated probability distributions is a hard computational problem arising in many fields, including statistical physics, optimization, and machine learning. Quant…
First-Order Trotter Error from a Second-Order Perspective
David Layden
Simulating quantum dynamics beyond the reach of classical computers is one of the main envisioned applications of quantum computers. The most promising quantum algorithms to this e…
Bias in error-corrected quantum sensing
Ivan Rojkov, David Layden, Paola Cappellaro +2
The sensitivity afforded by quantum sensors is limited by decoherence. Quantum error correction (QEC) can enhance sensitivity by suppressing decoherence, but it has a side-effect:…