Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Practical Trainable Temporal Postprocessor for Multistate Quantum Measurement
Saeed A. Khan, Ryan Kaufman, Boris Mesits +2 more·Oct 27, 2023
We develop and demonstrate a trainable temporal postprocessor (TPP) harnessing a simple but versatile machine learning algorithm to provide optimal processing of quantum measurement data subject to arbitrary noise processes for the readout of an arbi...
Broadband coplanar-waveguide-based impedance-transformed Josephson parametric amplifier
Bingcheng Qing, Long B. Nguyen, Xinyu Liu +9 more·Oct 26, 2023
Quantum-limited Josephson parametric amplifiers play a pivotal role in advancing the field of circuit quantum electrodynamics by enabling the fast and high-fidelity measurement of weak microwave signals. Therefore, it is necessary to develop robust p...
All-optical superconducting qubit readout
G. Arnold, Thomas Werner, R. Sahu +3 more·Oct 25, 2023
The rapid development of superconducting quantum hardware is expected to run into substantial restrictions on scalability because error correction in a cryogenic environment has stringent input–output requirements. Classical data centres rely on fibr...
The Physics of (good) LDPC Codes I. Gauging and dualities
Tibor Rakovszky, V. Khemani·Oct 24, 2023
Low-depth parity check (LDPC) codes are a paradigm of error correction that allow for spatially non-local interactions between (qu)bits, while still enforcing that each (qu)bit interacts only with finitely many others. On expander graphs, they can gi...
Engineered dissipation to mitigate barren plateaus
Antonio Sannia, F. Tacchino, I. Tavernelli +2 more·Oct 23, 2023
Variational quantum algorithms represent a powerful approach for solving optimization problems on noisy quantum computers, with a broad spectrum of potential applications ranging from chemistry to machine learning. However, their performances in prac...
Quantum computer error structure probed by quantum error correction syndrome measurements
S. Gicev, L. Hollenberg, Muhammad Usman·Oct 19, 2023
With quantum devices rapidly approaching qualities and scales needed for fault tolerance, the validity of simplified error models underpinning the study of quantum error correction needs to be experimentally evaluated. In this work, we have assessed ...
Generalized Quantum Data-Syndrome Codes and Belief Propagation Decoding for Phenomenological Noise
Kao-Yueh Kuo, Ching-Yi Lai·Oct 19, 2023
Quantum stabilizer codes often struggle with syndrome errors due to measurement imperfections. Typically, multiple rounds of syndrome extraction are employed to ensure reliable error information. In this paper, we consider phenomenological decoding p...
Pre-optimizing variational quantum eigensolvers with tensor networks
Abid Khan, Bryan K. Clark, N. Tubman·Oct 19, 2023
The variational quantum eigensolver (VQE) is a promising algorithm for demonstrating quantum advantage in the noisy intermediate-scale quantum (NISQ) era. However, optimizing VQE from random initial starting parameters is challenging due to a variety...
Genuine Multipartite Entanglement Detection with Imperfect Measurements: Concept and Experiment.
H. Cao, Simon Morelli, L. Rozema +3 more·Oct 18, 2023
Standard procedures for entanglement detection assume that experimenters can exactly implement specific quantum measurements. Here, we depart from such idealizations and investigate, in both theory and experiment, the detection of genuine multipartit...
Quantum computing simulation of a mixed spin-boson Hamiltonian and its performance for a cavity quantum electrodynamics problem
M. Tudorovskaya, David Muñoz Ramo·Oct 17, 2023
In this paper, we aim to broaden the spectrum of possible applications of quantum computers and use their capabilities to investigate effects in cavity quantum electrodynamics ("cavity QED"). Interesting application examples are material properties, ...
Tensor-Network Decoding Beyond 2D
C. Piveteau, Christopher T. Chubb, J. Renes·Oct 16, 2023
Decoding algorithms based on approximate tensor-network (TN) contraction have proven tremendously successful in decoding two-dimensional (2D) local quantum codes such as toric or surface codes and color codes, effectively achieving optimal decoding a...
Mixed-state Quantum Phases: Renormalization and Quantum Error Correction
Shengqi Sang, Yijian Zou, Timothy H. Hsieh·Oct 12, 2023
Open system quantum dynamics can generate a variety of long-range entangled mixed states, yet it has been unclear in what sense they constitute phases of matter. To establish that two mixed states are in the same phase, as defined by their two-way co...
Machine Learning Assisted Cognitive Construction of a Shallow Depth Dynamic Ansatz for Noisy Quantum Hardware
Sonaldeep Halder, Anish Dey, Chinmay Shrikhande +1 more·Oct 12, 2023
The development of various dynamic ansatz-constructing techniques has ushered in a new era, rendering the practical exploitation of Noisy Intermediate-Scale Quantum (NISQ) hardware for molecular simulations increasingly viable. However, they exhibit ...
Emergence of noise-induced barren plateaus in arbitrary layered noise models
Marco Schumann, Frank K. Wilhelm, Alessandro Ciani·Oct 12, 2023
In variational quantum algorithms the parameters of a parameterized quantum circuit are optimized in order to minimize a cost function that encodes the solution of the problem. The barren plateau phenomenon manifests as an exponentially vanishing dep...
Probabilistic error cancellation for dynamic quantum circuits
R. Gupta, Ewout van den Berg, M. Takita +3 more·Oct 11, 2023
Probabilistic error cancellation (PEC) is a technique that generates error-mitigated estimates of expectation values from ensembles of quantum circuits. In this work we extend the application of PEC from unitary-only circuits to dynamic circuits with...
Trainability Analysis of Quantum Optimization Algorithms from a Bayesian Lens
Yanqi Song, Yusen Wu, S. Qin +3 more·Oct 10, 2023
The Quantum Approximate Optimization Algorithm (QAOA) is an extensively studied variational quantum algorithm utilized for solving optimization problems on near-term quantum devices. A significant focus is placed on determining the effectiveness of t...
Single-spin-qubit geometric gate in a silicon quantum dot
Rong-Long Ma, Ao-Ran Li, Chu Wang +11 more·Oct 10, 2023
Preserving qubit coherence and maintaining high-fidelity qubit control under complex noise environment is an enduring challenge for scalable quantum computing. Here we demonstrate an addressable fault-tolerant single spin qubit with an average contro...
Generative quantum machine learning via denoising diffusion probabilistic models
Bingzhi Zhang, Peng Xu, Xiaohui Chen +1 more·Oct 9, 2023
Deep generative models are key-enabling technology to computer vision, text generation, and large language models. Denoising diffusion probabilistic models (DDPMs) have recently gained much attention due to their ability to generate diverse and high-...
Learning high-accuracy error decoding for quantum processors
Johannes Bausch, A. W. Senior, F. Heras +15 more·Oct 9, 2023
Building a large-scale quantum computer requires effective strategies to correct errors that inevitably arise in physical quantum systems1. Quantum error-correction codes2 present a way to reach this goal by encoding logical information redundantly i...
Real‐Time Measurements of Photonic Microchips with Femtometer‐Scale Spectral Precision and Ultrahigh Sensitivity
M. M. Dashtabi, Mohammad Talebi Khoshmehr, H. Nikbakht +4 more·Oct 8, 2023
Photonic integrated circuits (PICs) are enabling breakthroughs in several areas, including quantum computing, neuromorphic processors, wearable devices, and more. Nevertheless, existing PIC measurement methods lack the spectral precision, speed, and ...