Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Study on Frustrated Quantum Phase Transition Achievable by Quantum Computing
Zilin Chen·Sep 9, 2024
Quantum computers, with parallel computing and entanglement effects, excel in cryptography analysis and big data processing. However, they are not fully developed yet, and their performance needs further evaluation. Traditional computer data, especia...
Non-local resources for error correction in quantum LDPC codes
Omprakash Chandra, Gopikrishnan Muraleedharan, G. Brennen·Sep 9, 2024
Quantum low density parity check (qLDPC) codes are an attractive alternative to the surface code due to their relatively high code rate and distance. However, unlike the surface code which has simple, geometrically local, stabilizer checks, high perf...
Effect of noise on quantum circuit realization of non-Hermitian time crystals
Weihua Xie, Michael H. Kolodrubetz, Vadim Oganesyan·Sep 9, 2024
Non-Hermitian quantum dynamics lie in an intermediate regime between unitary Hamiltonian dynamics and trace-preserving non-unitary open quantum system dynamics. Given differences in the noise tolerance of unitary and non-unitary dynamics, it is inter...
Tantalum Thin Films Sputtered on Silicon and on Different Seed Layers: Material Characterization and Coplanar Waveguide Resonator Performance
Moritz Singer, Benedikt Schoof, Harsh Gupta +3 more·Sep 9, 2024
Superconducting qubits are a promising platform for large-scale quantum computing. Besides the Josephson junction, most parts of a superconducting qubit are made of a planar, patterned superconducting thin films. In the past, most qubit architectures...
Resource-Efficient Context-Aware Dynamical Decoupling Embedding for Arbitrary Large-Scale Quantum Algorithms
Paul Coote, Roman Dimov, Smarak Maity +3 more·Sep 9, 2024
We introduce and implement GraphDD: an efficient method for real-time, circuit-specific, optimal embedding of dynamical decoupling (DD) into executable quantum algorithms. We demonstrate that for an arbitrary quantum circuit, GraphDD exactly refocuse...
Simulating Chemistry with Fermionic Optical Superlattices
F. Gkritsis, Daniel Dux, Jin Zhang +3 more·Sep 9, 2024
We show that quantum-number-preserving ansatzes for variational optimization in quantum chemistry find an elegant mapping to ultracold fermions in optical superlattices. Using native Hubbard dynamics, trial ground states of molecular Hamiltonians can...
Simulating Non-Markovian Dynamics in Multidimensional Electronic Spectroscopy via Quantum Algorithm.
Federico Gallina, Matteo Bruschi, Roberto Cacciari +1 more·Sep 9, 2024
Including the effect of the molecular environment in the numerical modeling of time-resolved electronic spectroscopy remains an important challenge in computational spectroscopy. In this contribution, we present a general approach for the simulation ...
Quantum Multiplexer Simplification for State Preparation
José Alex de Carvalho, Carlos A. Batista, Tiago M. L. de Veras +2 more·Sep 9, 2024
The initialization of quantum states or Quantum State Preparation (QSP) is a basic subroutine in quantum algorithms. In the worst case, general QSP algorithms are expensive due to the application of multi-controlled gates required to build the quantu...
Circuit optimization of qubit IC-POVMs for shadow estimation
Zhou You, Qing Liu, You Zhou·Sep 9, 2024
Extracting information from quantum systems is crucial in quantum physics and information processing. Methods based on randomized measurements, like shadow estimation, show advantages in effectively achieving such tasks. However, randomized measureme...
Delay Balancing With Clock-Follow-Data: Optimizing Area Delay Tradeoffs for Robust Rapid Single Flux Quantum Circuits
Robert S. Aviles, Phalgun G K, P. Beerel·Sep 8, 2024
This article proposes an algorithm for synthesis of clock-follow-data designs that provide robustness against timing violations for rapid single-flux quantum (RSFQ) circuits, minimizing area costs subject to a given performance constraint. Since all ...
Learning to classify quantum phases of matter with a few measurements
Mehran Khosrojerdi, Jason L. Pereira, A. Cuccoli +1 more·Sep 8, 2024
We study the identification of quantum phases of matter, at zero temperature, when only part of the phase diagram is known in advance. Following a supervised learning approach, we show how to use our previous knowledge to construct an observable capa...
Towards Distributed Quantum Error Correction for Distributed Quantum Computing
Shahram Babaie, Chunming Qiao·Sep 8, 2024
Quantum computing as a promising technology can utilize stochastic solutions instead of deterministic approaches for complicated scenarios for which classical computing is inefficient, provided that both the concerns of the error-prone nature of qubi...
Fast Multiplexed Superconducting-Qubit Readout with Intrinsic Purcell Filtering Using a Multiconductor Transmission Line
P. A. Spring, Luka Milanovic, Y. Sunada +4 more·Sep 8, 2024
Fast and accurate qubit measurement remains a critical challenge on the path to fault-tolerant quantum computing. In superconducting quantum circuits, fast qubit measurement has been achieved using a dispersively coupled resonator with a large extern...
Generalized Parity Measurements and Efficient Large Multi-component Cat State Preparation with Quantum Signal Processing
Sina Zeytinoğlu·Sep 8, 2024
Generalized parity measurements are instrumental for the preparation of non-trivial quantum states and the detection of errors in error correction codes. Here, we detail a proposal for efficient and robust generalized parity measurements based on Qua...
Simulating kaon mixing with Josephson phase qubits
Andrei Galiautdinov·Sep 7, 2024
Superconducting circuits with Josephson junctions distinguish themselves from other types of quantum computing architectures by having easily controllable metastable computational states (the so-called phase qubits) with a very large ratio of their r...
An efficient finite-resource formulation of non-Abelian lattice gauge theories beyond one dimension
Pierpaolo Fontana, Marc Miranda Riaza, Alessio Celi·Sep 6, 2024
Non-Abelian gauge theories provide the most accurate description of fundamental interactions, showing remarkable agreement with experimental data in cosmology and particle physics. Highly precise predictions can be made using standard techniques, bot...
Stories in the two-state vector formalism
Patryk Michalski, Andrzej Dragan·Sep 6, 2024
The two-state vector formalism of quantum mechanics is a time-symmetrized approach to standard quantum theory. In our work, we aim to establish rigorous foundations for the future investigation within this formalism. We introduce the concept of a sto...
Recovering optimal precision in quantum sensing with time domain imperfections
Zi-Shen Li, Xinyue Long, Xiaodong Yang +2 more·Sep 6, 2024
Quantum control plays a crucial role in enhancing precision scaling for quantum sensing. However, most existing protocols require perfect control, even though real-world devices inevitably have control imperfections. Here, we consider a fundamental s...
Analog quantum simulation of coupled electron-nuclear dynamics in molecules
Jong-Kwon Ha, R. MacDonell·Sep 6, 2024
Quantum computing has the potential to reduce the computational cost required for quantum dynamics simulations. However, existing quantum algorithms for coupled electron-nuclear dynamics simulation either require fault-tolerant devices, or involve th...
Expressing and Analyzing Quantum Algorithms with Qualtran
M. Harrigan, T. Khattar, Charles Yuan +5 more·Sep 6, 2024
Quantum computing's transition from theory to reality has spurred the need for novel software tools to manage the increasing complexity, sophistication, toil, and fallibility of quantum algorithm development. We present Qualtran, an open-source libra...