Papers
Live trends in quantum computing research, updated daily from arXiv.
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13,405 papers in 12 months (-22% vs prior quarter)
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
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...
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...
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...
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...
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 ...
Simulating the Quantum Rabi Model in Superconducting Qubits at Deep Strong Coupling
Noureddine Rochdi, A. Rahman, R. Laamara +1 more·Feb 10, 2024
The Quantum Rabi model serves as a pivotal theoretical framework for elucidating the nuanced interplay between light and matter. Utilizing circuit quantum electrodynamics on a chip, we address the challenge of achieving deep strong coupling in Quantu...
Full Quantum Process Tomography of a Universal Entangling Gate on an IBM’s Quantum Computer
M. AbuGhanem·Feb 10, 2024
Characterizing quantum dynamics is critical in quantum physics, quantum information science, and computation, where the precision of quantum gates plays a key role. We present a comprehensive experimental analysis of the SQSCZ gate–a novel universal ...
Quantum Computing and Tensor Networks for Laminate Design: A Novel Approach to Stacking Sequence Retrieval
Arne Wulff, Boyang Chen, M. Steinberg +3 more·Feb 9, 2024
As with many tasks in engineering, structural design frequently involves navigating complex and computationally expensive problems. A prime example is the weight optimization of laminated composite materials, which to this day remains a formidable ta...
Challenges and opportunities in the supervised learning of quantum circuit expectation values.
S. Cantori, S. Pilati·Feb 7, 2024
Recently, deep neural networks have been proven capable of predicting output expectation values of certain random quantum circuits via a supervised learning approach. Here we investigate the potential of this possible approach to the emulation of qua...
Quantum circuit for multi-qubit Toffoli gate with optimal resource
Junhong Nie, Wei Zi, Xiaoming Sun·Feb 7, 2024
Resource consumption is an important issue in quantum information processing, particularly during the present NISQ era. In this paper, we investigate resource optimization of implementing multiple controlled operations, which are fundamental building...
Crosstalk Attacks and Defence in a Shared Quantum Computing Environment
B. Harper, Behnam Tonekaboni, Bahar Goldozian +2 more·Feb 5, 2024
Quantum computing has the potential to provide solutions to problems that are intractable on classical computers, but the accuracy of the current generation of quantum computers suffer from the impact of noise or errors such as leakage, crosstalk, de...
Unleashing the expressive power of pulse-based quantum neural networks
Han-Xiao Tao, Jiaqi Hu, Re-Bing Wu·Feb 5, 2024
Quantum machine learning (QML) based on Noisy Intermediate-Scale Quantum (NISQ) devices hinges on the optimal utilization of limited quantum resources. The broadly used gate-based QML models are user-friendly for software engineers, but their express...
Fast classical simulation of Harvard/QuEra IQP circuits
Dmitri Maslov, S. Bravyi, Felix Tripier +2 more·Feb 5, 2024
Establishing an advantage for (white-box) computations by a quantum computer against its classical counterpart is currently a key goal for the quantum computation community. A quantum advantage is achieved once a certain computational capability of a...
Towards a Multiqudit Quantum Processor Based on a 171Yb+ Ion String: Realizing Basic Quantum Algorithms
I. Zalivako, Anastasiia S. Nikolaeva, A. Borisenko +12 more·Feb 5, 2024
We demonstrate a quantum processor based on a 3D linear Paul trap that uses Yb+171 ions with eight individually controllable four-level qudits (ququarts), which is computationally equivalent to a sixteen-qubit quantum processor. The design of the dev...
Robust Angle Finding for Generalized Quantum Signal Processing
S. Yamamoto, Nobuyuki Yoshioka·Feb 5, 2024
Quantum Signal Processing (QSP), together with the quantum singular value transformation, is one of the central quantum algorithms due to its efficiency and generality in many fields including quantum simulation, quantum machine learning, and quantum...
Grover-QAOA for 3-SAT: quadratic speedup, fair-sampling, and parameter clustering
Zewen Zhang, Roger Paredes, Bhuvanesh Sundar +5 more·Feb 4, 2024
The SAT problem is a prototypical NP-complete problem of fundamental importance in computational complexity theory with many applications in science and engineering; as such, it has long served as an essential benchmark for classical and quantum algo...
Benchmarking the algorithmic performance of near-term neutral atom processors
K. McInroy, N. Pearson, J. Pritchard·Feb 3, 2024
Neutral atom quantum processors provide a viable route to scalable quantum computing, with recent demonstrations of high-fidelity and parallel gate operations and initial implementation of quantum algorithms using both physical and logical qubit enco...
Big data applications on small quantum computers
Boniface Yogendran, Daniel C. Charlton, Miriam Beddig +2 more·Feb 2, 2024
Current quantum hardware prohibits any direct use of large classical datasets. Coresets allow for a succinct description of these large datasets and their solution in a computational task is competitive with the solution on the original dataset. The ...
Quantum simulation of Fermi-Hubbard model based on transmon qudit interaction
A. Vezvaee, Nathan Earnest-Noble, K. Najafi·Feb 2, 2024
The Fermi-Hubbard model, a fundamental framework for studying strongly correlated phenomena could significantly benefit from quantum simulations when exploring non-trivial settings. However, simulating this problem requires twice as many qubits as th...