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20232026
most citedCircuit QED detection of induced two-fold anisotropic pairing in a hybrid superconductor-ferromagnet bilayer

13 citations · 18 across the 25 of their papers we have counts for

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10 papers · 1 filter

quant-ph2026

Proof of the hiding conjecture for Gaussian boson sampling with an arbitrary number of squeezed input modes

Laura Shou, Alexey V. Gorshkov, Victor Galitski +1

Gaussian boson sampling (GBS) is a sampling task proposed to demonstrate quantum advantage. We consider Gaussian boson sampling on optical modes, with equally squeezed inpu…

quant-ph2026

Quantum-stabilized patterns in a vector Hopfield network

Richard D. Barney, Sharba Bhattacharjee, Victor Galitski +2

We introduce the quantum vector Hopfield network, in which patterns are formed by orientations of quantum vector spins; quantum dynamics arise intrinsically from the non-commutativ…

quant-ph2026

Depth dependence of entanglement and circuit complexity in random linear optical networks

Laura Shou, Joseph T. Iosue, Yu-Xin Wang +2

We study the growth of entanglement and circuit complexity in random passive linear optical networks as a function of the circuit depth. For entanglement dynamics, we start with an…

quant-ph2026

Measurement-Induced Quantum Neural Network

Paul Argyle, Djamil Lakhdar-Hamina, Sarah H. Miller +1

We introduce a measurement-induced quantum neural network (MINN), an adaptive monitored-circuit architecture in which mid-circuit measurement outcomes determine the entangling gate…

quant-ph2025

Proof of hiding conjecture in Gaussian boson sampling

Laura Shou, Sarah H. Miller, Victor Galitski

Gaussian boson sampling (GBS) is a promising protocol for demonstrating quantum computational advantage. One of the key steps in the argument for classical hardness of GBS is the s…

quant-ph2025

Benchmarking a Tunable Quantum Neural Network on Trapped-Ion and Superconducting Hardware

Djamil Lakhdar-Hamina, Xingxin Liu, Richard Barney +4

We implement a quantum generalization of a neural network on trapped-ion and IBM superconducting quantum computers to classify MNIST images, a common benchmark in computer vision.…

quant-ph2025

A discrete Fourier transform based quantum circuit for modular multiplication in Shor's algorithm

Abu Musa Patoary, Amit Vikram, Victor Galitski

Shor's algorithm for the prime factorization of numbers provides an exponential speedup over the best known classical algorithms. However, nontrivial practical applications have re…

quant-ph2025

Natural Quantization of Neural Networks

Richard Barney, Djamil Lakhdar-Hamina, Victor Galitski

We propose a natural quantization of a standard neural network, where the neurons correspond to qubits and the activation functions are implemented via quantum gates and measuremen…

quant-ph2024★ 1 cited

Proof of a Universal Speed Limit on Fast Scrambling in Quantum Systems

Amit Vikram, Laura Shou, Victor Galitski

We prove that the time required for sustained information scrambling in any Hamiltonian quantum system is universally at least logarithmic in the entanglement entropy of scrambled…

quant-ph2023★ 1 cited

Spectral anomalies and broken symmetries in maximally chaotic quantum maps

Laura Shou, Amit Vikram, Victor Galitski

Spectral statistics such as the level spacing statistics and spectral form factor (SFF) are widely expected to accurately identify ``ergodicity'', including the presence of underly…