Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum Electrodynamics Coupled-Cluster Theory: Exploring Photon-Induced Electron Correlations
Himadri Pathak, Nicholas P. Bauman, Ajay Panyala +1 more·Sep 10, 2024
We present our successful implementation of the quantum electrodynamics coupled-cluster method with single and double excitations (QED-CCSD) for electronic and bosonic amplitudes, covering both individual and mixed excitation processes within the Exa...
Towards few-body QCD on a quantum computer
J. Gálvez-Viruet·Sep 10, 2024
Quantum computers are promising tools for the simulation of many-body systems, and among those, QCD stands out by its rich phenomenology. Every simulation starts with a codification, and here we succently review a newly developed compact encoding bas...
Cahier de l'Institut Pascal: Noisy Quantum Dynamics and Measurement-Induced Phase Transitions
Alexios Christopoulos, Alessandro Santini, G. Giachetti·Sep 10, 2024
This is a conference proceeding in the framework of workshop"OpenQMBP2023"at Institute Pascal (Orsay, France) and associated to the lecture given by Prof. Ehud Altman. We provide a comprehensive analysis of recent results in the context of measuremen...
An Integrated Deep-Cryogenic Temperature Sensor in CMOS Technology for Quantum Computing Applications
F. Olivieri, G. M. Noah, T. Swift +3 more·Sep 10, 2024
On-chip thermometry at deep-cryogenic temperatures is vital in quantum computing applications to accurately quantify the effect of increased temperature on qubit performance. In this work, we present a sub-1 K temperature sensor in CMOS technology ba...
Optical Gottesman-Kitaev-Preskill qubit generation via approximate squeezed coherent state superposition breeding
Andrew J. Pizzimenti, Daniel Soh·Sep 10, 2024
Gottesman-Kitaev-Preskill (GKP) qubits, known for their exceptional error-correction capabilities, are highly coveted in quantum computing. However, generating optical GKP qubits has been a significant challenge. Measurement-based methods, where a po...
Concomitant Entanglement and Control Criticality Driven by Collective Measurements
T. Iadecola, Justin H. Wilson, J. H. Pixley·Sep 10, 2024
Adaptive quantum circuits—where a quantum many-body state is controlled using measurements and conditional unitary operations—are a powerful paradigm for state preparation and quantum error-correction tasks. They can support two types of nonequilibri...
Simulating continuous-space systems with quantum-classical wave functions
Friederike Metz, Gabriel Pescia, Giuseppe Carleo·Sep 10, 2024
Most non-relativistic interacting quantum many-body systems, such as atomic and molecular ensembles or materials, are naturally described in terms of continuous-space Hamiltonians. The simulation of their ground-state properties on digital quantum co...
An Empirical Analysis on the Effectiveness of the Variational Quantum Linear Solver
G. Turati, Alessia Marruzzo, Maurizio Ferrari Dacrema +1 more·Sep 10, 2024
Variational Quantum Algorithms (VQAs) have emerged as promising methods for tackling complex problems on near-term quantum devices. Among these algorithms, the Variational Quantum Linear Solver (VQLS) addresses linear systems of the form $Ax=b$, aimi...
Measuring temporal entropies in experiments
Aleix Bou-Comas, Carlos Ramos Marimón, Jan T. Schneider +2 more·Sep 9, 2024
We propose a novel experimental protocol to measure generalized temporal entropies in many-body quantum systems. Our approach involves using local operators as probes to characterize the out-of-equilibrium dynamics induced by a geometric double quenc...
Hardware-Efficient Fault Tolerant Quantum Computing with Bosonic Grid States in Superconducting Circuits
M. Lemonde, D. Lachance-Quirion, Guillaume Duclos-Cianci +5 more·Sep 9, 2024
Quantum computing holds the promise of solving classically intractable problems. Enabling this requires scalable and hardware-efficient quantum processors with vanishing error rates. This perspective manuscript describes how bosonic codes, particular...
Quantum annealing applications, challenges and limitations for optimisation problems compared to classical solvers
Finley Alexander Quinton, P. S. Myhr, Mostafa Barani +2 more·Sep 9, 2024
Quantum computing is rapidly advancing, harnessing the power of qubits’ superposition and entanglement for computational advantages over classical systems. However, scalability poses a primary challenge for these machines. By implementing a hybrid wo...
Preparing Schrödinger Cat States in a Microwave Cavity Using a Neural Network
Hector Hutin, Pavlo Bilous, Chengzhi Ye +8 more·Sep 9, 2024
Scaling up quantum computing devices requires solving ever more complex quantum control tasks. Machine learning has been proposed as a promising approach to tackle the resulting challenges. However, experimental implementations are still scarce. In t...
An Introduction to Quantum Reinforcement Learning (QRL)
S. Y. Chen·Sep 9, 2024
Recent advancements in quantum computing (QC) and machine learning (ML) have sparked considerable interest in the integration of these two cutting-edge fields. Among the various ML techniques, reinforcement learning (RL) stands out for its ability to...
End-to-End Quantum Simulation of a Chemical System
W. V. Dam, Hongbin Liu, Guang Hao Low +6 more·Sep 9, 2024
We demonstrate the first end-to-end integration of high-performance computing (HPC), reliable quantum computing, and AI in a case study on catalytic reactions producing chiral molecules. We present a hybrid computation workflow to determine the stron...
Universal quantum gate set for Gottesman–Kitaev–Preskill logical qubits
V. G. Matsos, C. Valahu, M. Millican +4 more·Sep 9, 2024
Conventional approaches towards creating a large-scale, fault-tolerant quantum computer require an error correction scheme that uses multiple physical qubits to encode one logical qubit of protected quantum information. A key limiting factor in reali...
Reinforcement Learning for Variational Quantum Circuits Design
Simone Foderà, G. Turati, Riccardo Nembrini +2 more·Sep 9, 2024
Variational Quantum Algorithms have emerged as promising tools for solving optimization problems on quantum computers. These algorithms leverage a parametric quantum circuit called ansatz, where its parameters are adjusted by a classical optimizer wi...
Steady-State Statistics of Classical Nonlinear Dynamical Systems from Noisy Intermediate-Scale Quantum Devices
Yash Lokare, Dingding Wei, Lucas Chan +2 more·Sep 9, 2024
Classical nonlinear dynamical systems are often characterized by their steady-state probability distribution functions (PDFs). Typically, PDFs are accumulated from numerical simulations that involve solving the underlying dynamical equations of motio...
Quantum Wasserstein Compilation: Unitary Compilation using the Quantum Earth Mover's Distance
M. Richter, Abhishek Y. Dubey, A. Plinge +3 more·Sep 9, 2024
Despite advances in the development of quantum computers, the practical application of quantum algorithms requiring deep circuit depths or high-fidelity transformations remains outside the current range of the so-called noisy intermediate-scale quant...
Evaluating Post-Quantum Cryptography on Embedded Systems: A Performance Analysis
Ben Dong, Qian Wang·Sep 9, 2024
The National Institute of Standards and Technology (NIST) has finalized the selection of post-quantum cryptographic (PQC) algorithms for use in the era of quantum computing. Despite their integration into TLS protocol for key establishment and signat...
Quantum Resources for Pure Thermal Shadows
Arnav Sharma, K. Obenland·Sep 9, 2024
Calculating the properties of Gibbs states is an important task in Quantum Chemistry and Quantum Machine Learning. Previous work has proposed a quantum algorithm which predicts Gibbs state expectation values for $M$ observables from only log $M$ meas...