Papers
Live trends in quantum computing research, updated daily from arXiv.
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28,402
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13,522 papers in 12 months (-19% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Re-QGAN: an optimized adversarial quantum circuit learning framework
Sandra Nguemto, Vicente Leyton-Ortega·Aug 3, 2022
Adversarial learning represents a powerful technique for generating data statistics. Its successful implementation in quantum computational platforms is not straightforward due to limitations in connectivity, quantum operation fidelity, and limited a...
Quantum Encoding and Analysis on Continuous Time Stochastic Process with Financial Applications
Xi-Ning Zhuang, Zhao-Yun Chen, Cheng Xue +2 more·Aug 3, 2022
Modeling stochastic phenomena in continuous time is an essential yet challenging problem. Analytic solutions are often unavailable, and numerical methods can be prohibitively time-consuming and computationally expensive. To address this issue, we pro...
Information-theoretic hardness of out-of-time-order correlators
Jordan S. Cotler, T. Schuster, M. Mohseni·Aug 3, 2022
We establish that there are properties of quantum many-body dynamics which are efficiently learnable if we are given access to out-of-time-order correlators (OTOCs), but which require exponentially many operations in the system size if we can only me...
Real-Time Krylov Theory for Quantum Computing Algorithms
Yi-Hsiang Shen, Katherine Klymko, James Sud +3 more·Aug 1, 2022
Quantum computers provide new avenues to access ground and excited state properties of systems otherwise difficult to simulate on classical hardware. New approaches using subspaces generated by real-time evolution have shown efficiency in extracting ...
Quantum Vulnerability Analysis to Guide Robust Quantum Computing System Design
Fang Qi, Kaitlin N. Smith, Travis Lecompte +4 more·Jul 29, 2022
While quantum computers provide exciting opportunities for information processing, they currently suffer from noise during computation that is not fully understood. Incomplete noise models have led to discrepancies between quantum program success rat...
Fast quantum circuit cutting with randomized measurements
Angus Lowe, Matija Medvidovi'c, Anthony Joseph Hayes +4 more·Jul 29, 2022
We propose a new method to extend the size of a quantum computation beyond the number of physical qubits available on a single device. This is accomplished by randomly inserting measure-and-prepare channels to express the output state of a large circ...
Performant coherent control: bridging the gap between high- and low-level operations on hardware
Daniel S. Lobser, Jay W. Van Der Wall, Joshua D. Goldberg·Jul 28, 2022
Scalable coherent control hardware for quantum information platforms is rapidly growing in priority as their number of available qubits continues to increase. As these systems scale, more calibration steps are needed, leading to challenges with syste...
Random Quantum Circuits
M. Fisher, V. Khemani, A. Nahum +1 more·Jul 28, 2022
Quantum circuits—built from local unitary gates and local measurements—are a new playground for quantum many-body physics and a tractable setting to explore universal collective phenomena far from equilibrium. These models have shed light on longstan...
Simulation of Interaction-Induced Chiral Topological Dynamics on a Digital Quantum Computer.
Jin Ming Koh, Tommy Tai, Ching Hua Lee·Jul 28, 2022
Chiral edge states are highly sought after as paradigmatic topological states relevant to both quantum information processing and dissipationless electron transport. Using superconducting transmon-based quantum computers, we demonstrate chiral topolo...
Control of dephasing in spin qubits during coherent transport in silicon
M. Feng, J. Yoneda, W. Huang +12 more·Jul 25, 2022
One of the key pathways towards scalability of spin-based quantum computing systems lies in achieving long-range interactions between electrons and increasing their inter-connectivity. Coherent spin transport is one of the most promising strategies t...
Quantum Machine Learning for Distributed Quantum Protocols with Local Operations and Noisy Classical Communications
Hari Hara Suthan Chittoor, O. Simeone·Jul 22, 2022
Distributed quantum information processing protocols such as quantum entanglement distillation and quantum state discrimination rely on local operations and classical communications (LOCC). Existing LOCC-based protocols typically assume the availabil...
Quantum vs classical genetic algorithms: A numerical comparison shows faster convergence
Rubén Ibarrondo, G. Gatti, M. Sanz·Jul 19, 2022
Genetic algorithms are heuristic optimization techniques inspired by Darwinian evolution. Quantum computation is a new computational paradigm which exploits quantum resources to speed up information processing tasks. Therefore, it is sensible to expl...
Reminiscence of Classical Chaos in Driven Transmons
Joachim Cohen, A. Petrescu, R. Shillito +1 more·Jul 19, 2022
Transmon qubits are ubiquitously used in superconducting quantum information processor architectures. Strong drives are required to realize fast, high-fidelity, gates and measurements, including parametrically activated processes. Here, we show that ...
Quantum Noise-Induced Reservoir Computing
T. Kubota, Yudai Suzuki, Shumpei Kobayashi +3 more·Jul 16, 2022
Quantum computing has been moving from a theoretical phase to practical one, presenting daunting challenges in implementing physical qubits, which are subjected to noises from the surrounding environment. These quantum noises are ubiquitous in quantu...
Nonclassical Advantage in Metrology Established via Quantum Simulations of Hypothetical Closed Timelike Curves.
D. Arvidsson-Shukur, Aidan G. McConnell, Nicole Yunger Halpern·Jul 15, 2022
We construct a metrology experiment in which the metrologist can sometimes amend the input state by simulating a closed timelike curve, a worldline that travels backward in time. The existence of closed timelike curves is hypothetical. Nevertheless, ...
Quantum Data Reduction with Application to Video Classification
Kostas Blekos, D. Kosmopoulos·Jul 13, 2022
We investigate a quantum data reduction technique with application to video classification. A hybrid quantum-classical step performs data reduction on the video dataset generating “representative” distributions for each video class. These distributio...
Scalable and programmable phononic network with trapped ions
Wentao Chen, Yao Lu, Shuaining Zhang +9 more·Jul 13, 2022
A network of bosons evolving among different modes while passing through beam splitters and phase shifters has been applied to demonstrate quantum computational advantage. While such networks have mostly been implemented in optical systems using phot...
Quantum speed limits on operator flows and correlation functions
Nicoletta Carabba, Niklas Hörnedal, A. Campo·Jul 12, 2022
Quantum speed limits (QSLs) identify fundamental time scales of physical processes by providing lower bounds on the rate of change of a quantum state or the expectation value of an observable. We introduce a generalization of QSL for unitary operator...
Efficient factored gradient descent algorithm for quantum state tomography
Yong Wang, Lijun Liu, Shuming Cheng +2 more·Jul 12, 2022
Reconstructing the state of quantum many-body systems is of fundamental importance in quantum information tasks, but extremely challenging due to the curse of dimensionality. In this work, we present an efficient quantum tomography protocol that comb...
Information flow in parameterized quantum circuits
Abhinav Anand, Lasse Bjørn Kristensen, Felix Frohnert +2 more·Jul 11, 2022
In this work, we introduce a new way to quantify information flow in quantum systems, especially for parameterized quantum circuits (PQCs). We use a graph representation of the circuits and propose a new distance metric using the mutual information b...