Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Early Exploration of a Flexible Framework for Efficient Quantum Linear Solvers in Power Systems
Muqing Zheng, Yousu Chen, Xiu Yang +1 more·Feb 13, 2024
The rapid integration of renewable energy resources presents formidable challenges in managing power grids. While advanced computing and machine learning techniques offer some solutions for accelerating grid modeling and simulation, there remain comp...
Limitations of Fault-Tolerant Quantum Linear System Solvers for Quantum Power Flow
Parikshit Pareek, Abhijith Jayakumar, Carleton Coffrin +1 more·Feb 13, 2024
Quantum computers hold promise for solving problems intractable for classical computers, especially those with high time or space complexity. Practical quantum advantage can be said to exist for such problems when the end-to-end time for solving such...
Beyond unital noise in variational quantum algorithms: noise-induced barren plateaus and limit sets
P. Singkanipa, Daniel A. Lidar·Feb 13, 2024
Variational quantum algorithms (VQAs) hold much promise but face the challenge of exponentially small gradients. Unmitigated, this barren plateau (BP) phenomenon leads to an exponential training overhead for VQAs. Perhaps the most pernicious are nois...
QUAPPROX: A Framework for Benchmarking the Approximability of Variational Quantum Circuit
Jinyang Li, Ang Li, Weiwen Jiang·Feb 13, 2024
Most of the existing quantum neural network models, such as variational quantum circuits (VQCs), are limited in their ability to explore the non-linear relationships in input data. This gradually becomes the main obstacle for it to tackle realistic a...
Subsystem surface and compass code sensitivities to non-identical infidelity distributions on heavy-hex lattice
Malcolm Carroll, James R. Wootton, Andrew W. Cross·Feb 13, 2024
Logical qubits encoded into a quantum code exhibit improved error rates when the physical error rates are sufficiently low, below the pseudothreshold. Logical error rates and pseudothresholds can be estimated for specific circuits and noise models, a...
Information gain and measurement disturbance for quantum agents
Arthur O. T. Pang, Noah Lupu-Gladstein, Y. Batuhan Yilmaz +4 more·Feb 12, 2024
The traditional formalism of quantum measurement (hereafter ``TQM'') describes processes where some properties of quantum states are extracted and stored as classical information. While TQM is a natural and appropriate description of how humans inter...
Variational protocols for emulating digital gates using analog control with always-on interactions
C. Chevallier, J. Vovrosh, J. de Hond +3 more·Feb 12, 2024
We design variational pulse sequences tailored for neutral atom quantum simulators and show that we can engineer layers of single-qubit and multi-qubit gates. As an application, we discuss how the proposed method can be used to perform refocusing alg...
Virtual Channel Purification
Zhenhuan Liu, Xingjian Zhang, Yueyang Fei +1 more·Feb 12, 2024
Quantum error mitigation is a key approach for extracting target state properties on state-of-the-art noisy machines and early fault-tolerant devices. Using the ideas from flag fault tolerance and virtual state purification, we develop the virtual-ch...
Encoding Majorana codes
Maryam Mudassar, Riley W. Chien, Daniel Gottesman·Feb 12, 2024
To implement a quantum error correction protocol, we first need a scheme to prepare our state in the correct subspace of the code, and this can be done using a unitary encoding circuit. Majorana codes are special since any gates that transform such c...
Robust Quantum Control via a Model Predictive Control Strategy
Yunyan Lee, Ian R. Petersen, Daoyi Dong·Feb 12, 2024
This article presents a robust control strategy using Time-Optimal Model Predictive Control (TOMPC) for a two-level quantum system subject to bounded uncertainties. In this method, the control field is optimized over a finite horizon using a nominal ...
Variational post-selection for ground states and thermal states simulation
Shi-Xin Zhang, Jiaqi Miao, Chang-Yu Hsieh·Feb 12, 2024
Variational quantum algorithms, as one of the most promising routes in the noisy intermediate-scale quantum era, offer various potential applications while also confronting severe challenges due to near-term quantum hardware restrictions. In this wor...
Computational complexity of isometric tensor network states
D. Malz, Rahul Trivedi·Feb 12, 2024
We determine the computational power of isometric tensor network states (isoTNS), a variational ansatz originally developed to numerically find and compute properties of gapped ground states and topological states in two dimensions. By mapping 2D iso...
Piecewise Polynomial Tensor Network Quantum Feature Encoding
Mazen Ali, M. Kabel·Feb 12, 2024
This work introduces a novel method for embedding continuous variables into quantum circuits via piecewise polynomial features, utilizing low-rank tensor networks. Our approach, termed Piecewise Polynomial Tensor Network Quantum Feature Encoding (PPT...
A Lattice-Reduction Aided Vector Perturbation Precoder Relying on Quantum Annealing
Samuel Winter, Yangyishi Zhang, Gan Zheng +1 more·Feb 12, 2024
Quantum annealing (QA) is proposed for vector perturbation precoding (VPP) in multiple input multiple output (MIMO) communications systems. The mathematical framework of VPP is presented, outlining the problem formulation and the benefits of lattice ...
Digital Quantum Simulation of a (1+1)D SU(2) Lattice Gauge Theory with Ion Qudits
G. Calajó, G. Magnifico, C. Edmunds +3 more·Feb 12, 2024
We present a quantum simulation strategy for a (1+1)-dimensional SU(2) non-Abelian lattice gauge theory with dynamical matter, a hardcore-gluon Hamiltonian Yang-Mills, tailored to a six-level trapped-ion-qudit quantum processor, as recently experimen...
Optimized noise-assisted simulation of the Lindblad equation with time-dependent coefficients on a noisy quantum processor
J. D. Guimarães, Antonio Ruiz-Molero, James Lim +3 more·Feb 12, 2024
Noise in quantum devices is generally considered detrimental to computational accuracy. However, the recent proposal of noise-assisted simulation has demonstrated that noise can be an asset in digital quantum simulations of open systems on Noisy Inte...
Blueprint for efficient nuclear spin characterization with color center
Majid Zahedian, V. Vorobyov, Jörg Wrachtrup·Feb 12, 2024
Nuclear spins in solids offer a promising avenue for developing scalable quantum hardware. Leveraging nearby single-color centers, these spins can be efficiently addressed at the single-site level through spin resonance. However, characterising indiv...
Nonassociative Geometric and Quantum Information Flows and R‐Flux Deformations of Wormhole Solutions in String Gravity
Laurenţiu Bubuianu, Douglas Singleton, S. Vacaru +1 more·Feb 11, 2024
This article consists of an introduction to the theory of nonassociative geometric classical and quantum information flows defined by star products with R‐flux deformations in string gravity. Corresponding nonassociative generalizations of the concep...
Enhancing Knapsack-Based Financial Portfolio Optimization Using Quantum Approximate Optimization Algorithm
Chansreynich Huot, Kimleang Kea, Tae-Kyung Kim +1 more·Feb 11, 2024
Portfolio optimization is a primary component of the decision-making process in finance, aiming to tactfully allocate assets to achieve optimal returns while considering various constraints. Herein, we proposed a method that uses the knapsack-based p...
Estimating the Effect of Crosstalk Error on Circuit Fidelity Using Noisy Intermediate-Scale Quantum Devices
Sovanmonynuth Heng, Myeongseong Go, Youngsun Han·Feb 10, 2024
Current advancements in technology have focused the attention of the quantum computing community toward exploring the potential of near-term devices whose computing power surpasses that of classical computers in practical applications. An unresolved ...