497 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Massachusetts Institute of TechnologyUS149 papers
- Center for Astrophysics Harvard & SmithsonianUS76 papers
- Las Cumbres Observatory Global Telescope NetworkUS48 papers
- University of California, Santa BarbaraUS43 papers
- University of ArizonaUS36 papers
- Institute of Space SciencesES27 papers
- Université Bourgogne Franche-ComtéFR26 papers
- Harvard UniversityUS24 papers
- University of California, BerkeleyUS24 papers
- Flatiron Health (United States)US23 papers
- University of California, DavisUS23 papers
- University of WashingtonUS23 papers
18 papers · 1 filter
Information Processing in Quantum Thermodynamic Systems: an Autonomous Hamiltonian Approach
Shou-I Tang, Emery Doucet, Akram Touil +2
Extending the quantum formulation of [Phys. Rev. X 3, 041003 (2013)] to a more general setting for studying the thermodynamics of information processing including initial correlati…
Machine Learning Decoding of Circuit-Level Noise for Bivariate Bicycle Codes
John Blue, Harshil Avlani, Zhiyang He +2
Fault-tolerant quantum computers will depend crucially on the performance of the classical decoding algorithm which takes in the results of measurements and outputs corrections to…
No-go theorem for environment-assisted invariance in non-unitary dynamics
Akira Sone, Akram Touil, Kenji Maeda +2
We elucidate the requirements for quantum operations that achieve environment-assisted invariance (envariance), a symmetry of entanglement. While envariance has traditionally been…
Topological entanglement entropy meets holographic entropy inequalities
Joydeep Naskar, Sai Satyam Samal
Topological entanglement entropy (TEE) is an efficient way to detect topological order in the ground state of gapped Hamiltonians. The seminal work of Kitaev and Preskill~\cite{pre…
Quantum Inception Score
Akira Sone, Akira Tanji, Naoki Yamamoto
Motivated by the great success of classical generative models in machine learning, enthusiastic exploration of their quantum version has recently started. To depart on this journey…
Zero and Finite Temperature Quantum Simulations Powered by Quantum Magic
Andi Gu, Hong-Ye Hu, Di Luo +3
We introduce a quantum information theory-inspired method to improve the characterization of many-body Hamiltonians on near-term quantum devices. We design a new class of similarit…
Benchmarking highly entangled states on a 60-atom analog quantum simulator
Adam L. Shaw, Zhuo Chen, Joonhee Choi +6
Quantum systems have entered a competitive regime where classical computers must make approximations to represent highly entangled quantum states. However, in this beyond-classical…
Optimized trajectory unraveling for classical simulation of noisy quantum dynamics
Zhuo Chen, Yimu Bao, Soonwon Choi
The dynamics of open quantum systems can be simulated by unraveling it into an ensemble of pure state trajectories undergoing non-unitary monitored evolution, which has recently be…
Towards Finding an Optimal Flight Gate Assignment on a Digital Quantum Computer
Yahui Chai, Lena Funcke, Tobias Hartung +4
We investigate the performance of the variational quantum eigensolver (VQE) for the optimal flight gate assignment problem. This problem is a combinatorial optimization problem tha…
Variational Neural-Network Ansatz for Continuum Quantum Field Theory
John M. Martyn, Khadijeh Najafi, Di Luo
Physicists dating back to Feynman have lamented the difficulties of applying the variational principle to quantum field theories. In non-relativistic quantum field theories, the ch…
Degeneracy Engineering for Classical and Quantum Annealing: A Case Study of Sparse Linear Regression in Collider Physics
Eric R. Anschuetz, Lena Funcke, Patrick T. Komiske +2
Classical and quantum annealing are computing paradigms that have been proposed to solve a wide range of optimization problems. In this paper, we aim to enhance the performance of…
Impact of quantum noise on the training of quantum Generative Adversarial Networks
Kerstin Borras, Su Yeon Chang, Lena Funcke +8
Current noisy intermediate-scale quantum devices suffer from various sources of intrinsic quantum noise. Overcoming the effects of noise is a major challenge, for which different e…
Dimensional Expressivity Analysis, best-approximation errors, and automated design of parametric quantum circuits
Lena Funcke, Tobias Hartung, Karl Jansen +3
The design of parametric quantum circuits (PQCs) for efficient use in variational quantum simulations (VQS) is subject to two competing factors. On one hand, the set of states that…
Towards Quantum Simulations in Particle Physics and Beyond on Noisy Intermediate-Scale Quantum Devices
Lena Funcke, Tobias Hartung, Karl Jansen +4
We review two algorithmic advances that bring us closer to reliable quantum simulations of model systems in high energy physics and beyond on noisy intermediate-scale quantum (NISQ…
Pruning a restricted Boltzmann machine for quantum state reconstruction
Anna Golubeva, Roger G. Melko
Restricted Boltzmann machines (RBMs) have proven to be a powerful tool for learning quantum wavefunction representations from qubit projective measurement data. Since the number of…
Classical Shadows for Quantum Process Tomography on Near-term Quantum Computers
Ryan Levy, Di Luo, Bryan K. Clark
Quantum process tomography is a powerful tool for understanding quantum channels and characterizing properties of quantum devices. Inspired by recent advances using classical shado…
Simulating Quantum Mechanics with a -term and an 't Hooft Anomaly on a Synthetic Dimension
Jiayu Shen, Di Luo, Chenxi Huang +4
A topological -term in gauge theories, including quantum chromodynamics in 3+1 dimensions, gives rise to a sign problem that makes classical Monte Carlo simulations impractical.…
Single electrons on solid neon as a solid-state qubit platform
Xianjing Zhou, Gerwin Koolstra, Xufeng Zhang +9
Progress toward the realization of quantum computers requires persistent advances in their constituent building blocks - qubits. Novel qubit platforms that simultaneously embody lo…