Circuit-Based Leakage-to-Erasure Conversion in a Neutral-Atom Quantum Processor by Matthew N. H. Chow, Vikas Buchemmavari, Sivaprasad Omanakuttan, Bethany J. Little, Saurabh Pandey, Ivan H. Deutsch, Yuan-Yu Jau

“…Atom-loss errors are a major limitation of current state-of-the-art neutral-atom quantum computers and pose a significant challenge for scalable systems. …”
Get full text

Self-move and Other-move: Quantum Categorical Foundations of Japanese by Ryder Dale Walton

“…While tools like Chat-GPT, Google Translate, and DeepL make it easier than ever before to share our experiences with people globally, these tools are nevertheless inadequate as they fail to convey our ideas across the language barrier fluently, leaving people feeling anxious and embarrassed, because they cannot understand grammar or context. Quantum computers offer the best chance to achieve translation fluency in that they are better suited to simulating the natural world and natural phenomena such as speech. …”
Get full text

Quantum Variational vs. Quantum Kernel Machine Learning Models for Partial Discharge Classification in Dielectric Oils by José Miguel Monzón-Verona, Santiago García-Alonso, Francisco Jorge Santana-Martín

“…In the QVM, with two qubits, an accuracy of 92% was observed in the first discharge combination in the three quantum computers used, with a margin of error of 1% compared to the simulation obtained on classical computers.…”
Get full text

A reposition algorithm for e-hailing based on quantum annealing and intuitive reasoning by Chao Wang, Yiyun Shi, Sumin Wang

“…The final strategy is obtained using a D-wave quantum computer with quantum tunneling effect, which helps in finding optimal solutions by jumping out of local suboptimal solutions. …”
Get full text

Non-onsite symmetries and quantum teleportation in split-index matrix product states by David T. Stephen

“…We also give examples of states that can serve as universal resources for measurement-based quantum computation, providing the first examples of such resources without entanglement spectrum degeneracy. …”
Get full text

Trainability and Expressivity of Hamming-Weight Preserving Quantum Circuits for Machine Learning by Léo Monbroussou, Eliott Z. Mamon, Jonas Landman, Alex B. Grilo, Romain Kukla, Elham Kashefi

“…Quantum machine learning (QML) has become a promising area for real world applications of quantum computers, but near-term methods and their scalability are still important research topics. …”
Get full text

Tunable Inductive Coupler for High-Fidelity Gates Between Fluxonium Qubits by Helin Zhang, Chunyang Ding, D.K. Weiss, Ziwen Huang, Yuwei Ma, Charles Guinn, Sara Sussman, Sai Pavan Chitta, Danyang Chen, Andrew A. Houck, Jens Koch, David I. Schuster

“…The fluxonium qubit is a promising candidate for quantum computation due to its long coherence times and large anharmonicity. …”
Get full text

Stochastic resetting in discrete-time quantum dynamics: steady states and correlations in few-qubit systems by Sascha Wald, Louie Hong Yao, Thierry Platini, Chris Hooley, Federico Carollo

“…The possibility of realizing discrete-time reset dynamics on quantum computers makes it important to investigate the steady-state properties of such dynamics. …”
Get full text

Classical Simulability of Quantum Circuits with Shallow Magic Depth by Yifan Zhang, Yuxuan Zhang

“…Quantum magic is a necessary resource for quantum computers to be not efficiently simulable by classical computers. …”
Get full text

Calculating response functions of coupled oscillators using quantum phase estimation by Sven Danz, Mario Berta, Stefan Schröder, Pascal Kienast, Frank K. Wilhelm, Alessandro Ciani

“…We study the problem of estimating frequency response functions of systems of coupled, classical harmonic oscillators using a quantum computer. The functional form of these response functions can be mapped to a corresponding eigenproblem of a Hermitian matrix H, thus suggesting the use of quantum phase estimation. …”
Get full text

Probabilistic genotype-phenotype maps reveal mutational robustness of RNA folding, spin glasses, and quantum circuits by Anna Sappington, Vaibhav Mohanty

“…We study three model systems to show that PrGP maps offer a generalized framework which can handle uncertainty emerging from various physical sources: (1) thermal fluctuation in RNA folding, (2) external field disorder in the spin-glass ground state search problem, and (3) superposition and entanglement in quantum circuits, which are realized experimentally on IBM quantum computers. In all three cases, we observe a biphasic robustness scaling which is enhanced relative to random expectation for more frequent phenotypes and approaches random expectation for less frequent phenotypes. …”
Get full text

Generation of Frequency-Tunable Shaped Single Microwave Photons Using a Fixed-Frequency Superconducting Qubit by Takeaki Miyamura, Yoshiki Sunada, Zhiling Wang, Jesper Ilves, Kohei Matsuura, Yasunobu Nakamura

“…Scaling up a superconducting quantum computer will likely require quantum communication between remote chips, which can be implemented using an itinerant microwave photon in a transmission line. …”
Get full text

Convergence and Quantum Advantage of Trotterized MERA for Strongly-Correlated Systems by Qiang Miao, Thomas Barthel

“…Hence, the Trotterized MERA VQE is a promising route for the efficient investigation of strongly-correlated quantum many-body systems on quantum computers. Furthermore, we show how the convergence can be substantially improved by building up the MERA layer by layer in the initialization stage and by scanning through the phase diagram during optimization. …”
Get full text

On the Challenges of Quantum Circuit Encoding Using Deep and Reinforcement Learning by Patrick Selig, Niall Murphy, David Redmond, Simon Caton

“…Quantum computers may solve some computing tasks more efficiently than classical com- puters, but to do so requires the design of appropriate quantum circuits. …”
Get full text

Towards a fictitious magnetic field trap for both ground and Rydberg state 87Rb atoms via the evanescent field of an optical nanofiber by Alexey Vylegzhanin, Dylan J Brown, Danil F Kornovan, Etienne Brion, Síle Nic Chormaic

“…Cold Rydberg atoms, known for their long lifetimes and strong dipole-dipole interactions that lead to the Rydberg blockade phenomenon, are among the most promising platforms for quantum simulations, quantum computation and quantum networks. However, a major limitation to the performance of Rydberg atom-based platforms is dephasing, which can be caused by atomic motion within the trap. …”
Get full text

Quick design of feasible tensor networks for constrained combinatorial optimization by Hyakka Nakada, Kotaro Tanahashi, Shu Tanaka

“…Quantum computers are expected to enable fast solving of large-scale combinatorial optimization problems. …”
Get full text

Post-Quantum enhanced Ascon for secure vehicular IoT data integrity by Bhuvaneshwari A. J, Kaythry P., Kishore R., MuthuHarish R

“…However, the vehicular networks are exposed to increased risks from cyberattacks, particularly from incoming quantum computers with the ability to interpret out-of-date conventional codes. …”
Get full text

Inductive Construction of Variational Quantum Circuit for Constrained Combinatorial Optimization by Hyakka Nakada, Kotaro Tanahashi, Shu Tanaka

“…In this study, we propose a new method for constrained combinatorial optimization using variational quantum circuits. Quantum computers are considered to have the potential to solve large combinatorial optimization problems faster than classical computers. …”
Get full text

Cryogenic optical-to-microwave conversion using Si photonic integrated circuit Ge photodiodes by D. Julien-Neitzert, Edward K. Leung, N. Islam, S. Khorev, S. Shekhar, L. Chrostowski, Jeff F. Young, J. Salfi

“…Integration is expected to play an important role in quantum information technologies, including in the highly demanding task of producing the classical signals to control and measure quantum circuits at scales needed for fault-tolerant quantum computation. Here, we experimentally characterize the cryogenic performance of a miniaturized photonic integrated circuit fabricated by a commercial foundry that downconverts classical optical signals into microwave signals. …”
Get full text

Symmetry-invariant quantum machine learning force fields by Isabel Nha Minh Le, Oriel Kiss, Julian Schuhmacher, Ivano Tavernelli, Francesco Tacchino

“…This approach has recently been extended to incorporate quantum computational methods, making use of variational quantum learning models to predict potential energy surfaces and atomic forces from ab initio training data. …”
Get full text