Papers
Live trends in quantum computing research, updated daily from arXiv.
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Hardware platform mentions in abstracts — Photonic leads
Quantum Resources Required for Binding Affinity Calculations of Amyloid beta
Matthew Otten, Thomas W. Watts, Samuel D. Johnson +7 more·Jun 26, 2024
Amyloid beta, an intrinsically disordered protein, plays a seemingly important but not well-understood role in neurodegenerative diseases like Alzheimer's disease. A key feature of amyloid beta, which could lead to potential therapeutic intervention ...
Solving the homogeneous Bethe-Salpeter equation with a quantum annealer
Filippo Fornetti, A. Gnech, T. Frederico +6 more·Jun 26, 2024
The homogeneous Bethe-Salpeter equation (hBSE), describing a bound system in a genuinely relativistic quantum-field theory framework, was solved for the first time by using a D-Wave quantum annealer. After applying standard techniques of discretizati...
Localized statistics decoding for quantum low-density parity-check codes
Timo Hillmann, Lucas Berent, A. O. Quintavalle +3 more·Jun 26, 2024
Quantum low-density parity-check codes are a promising candidate for fault-tolerant quantum computing with considerably reduced overhead compared to the surface code. However, the lack of a practical decoding algorithm remains a barrier to their impl...
Near-Term Quantum Spin Simulation of the Spin-$\frac{1}{2}$ Square $J_{1}-J_{2}$ Heisenberg Model
Dylan Sheils, T. Rhone·Jun 26, 2024
Simulating complex spin systems, known for high frustration and entanglement, presents significant challenges due to their intricate energy landscapes. This study focuses on the $J_{1}-J_{2}$ Heisenberg model, renowned for its rich phase behavior on ...
Shaping a Quantum-Resistant Future: Strategies for Post-Quantum PKI
Grazia D'Onghia, D. Berbecaru, A. Lioy·Jun 26, 2024
As the quantum computing era approaches, securing classical cryptographic protocols becomes imperative. Public key cryptography is widely used for signature and key exchange but it’s the type of cryptography more threatened by quantum computing. Its ...
Trade-off between gradient measurement efficiency and expressivity in deep quantum neural networks
Koki Chinzei, Shin-ichi Yamano, Quoc-Hoan Tran +2 more·Jun 26, 2024
Quantum neural networks (QNNs) require an efficient training algorithm to achieve practical quantum advantages. A promising approach is gradient-based optimization, where gradients are estimated by quantum measurements. However, QNNs currently lack g...
Scaling Quantum Computations via Gate Virtualization
Nathaniel Tornow, Emmanouil Giortamis, Pramod Bhatotia·Jun 26, 2024
We present the Quantum Virtual Machine (QVM), an end-to-end generic system for scalable execution of large quantum circuits with high fidelity on noisy and small quantum processors (QPUs) by leveraging gate virtualization. QVM exposes a virtual circu...
Multi-partite entanglement monotones
Abhijit Gadde, Shraiyance Jain, Harshal Kulkarni·Jun 25, 2024
If we want to transform the quantum state of a system to another using local measurement processes, what is the probability of success? This probability is bounded by quantifying entanglement in both the states. In this paper, we construct a family o...
Markovianity and non-Markovianity of Particle Bath with Dirac Dispersion Relation
Takano Taira, Naomichi Hatano, Akinori Nishino·Jun 25, 2024
The dynamics of a two-level system coupled to a particle bath with the Dirac dispersion relation is studied. We analytically show that closing the Dirac gap results in a transition of the survival probability of the two-level system from non-exponent...
Equivalence of dynamics of disordered quantum ensembles and semi-infinite lattices
H. Gestsson, C. Nation, A. Olaya-Castro·Jun 25, 2024
We develop a formalism for mapping the exact dynamics of an ensemble of disordered quantum systems onto the dynamics of a single particle propagating along a semi-infinite lattice, with interactions determined by the probability distribution of disor...
Fast ground-state-to-ground-state separation of small ion crystals
Tyler H. Guglielmo, D. Leibfried, S. B. Libby +1 more·Jun 25, 2024
Rapid separation of linear crystals of trapped ions into different subsets is critical for realizing trapped ion quantum computing architectures where ions are rearranged in trap arrays to achieve all-to-all connectivity between qubits. We introduce ...
Low-overhead transversal fault tolerance for universal quantum computation
Hengyun Zhou, Chen Zhao, M. Cain +7 more·Jun 25, 2024
Fast, reliable logical operations are essential for realizing useful quantum computers1, 2–3. By redundantly encoding logical qubits into many physical qubits and using syndrome measurements to detect and correct errors, we can achieve low logical er...
KANQAS: Kolmogorov-Arnold Network for Quantum Architecture Search
Akash Kundu, Aritra Sarkar, Abhishek Sadhu·Jun 25, 2024
Quantum architecture Search (QAS) is a promising direction for optimization and automated design of quantum circuits towards quantum advantage. Recent techniques in QAS emphasize Multi-Layer Perceptron (MLP)-based deep Q-networks. However, their inte...
Efficient classical algorithm for simulating boson sampling with heterogeneous partial distinguishability
S. N. V. D. Hoven, E. Kanis, J. Renema·Jun 25, 2024
Boson sampling is one of the leading protocols for demonstrating a quantum advantage, but the theory of how this protocol responds to noise is still incomplete. We extend the theory of classical simulation of boson sampling with partial distinguishab...
Resource-Optimized Grouping Shadow for Efficient Energy Estimation
Min Li, Mao Lin, Matthew Beach·Jun 25, 2024
The accurate and efficient energy estimation of quantum Hamiltonians consisting of Pauli observables is an essential task in modern quantum computing. We introduce a Resource-Optimized Grouping Shadow (ROGS) algorithm, which optimally allocates measu...
Quantum-inspired fluid simulation of two-dimensional turbulence with GPU acceleration
Leonhard Hölscher, P. Rao, Lukas Müller +4 more·Jun 25, 2024
Tensor network algorithms can efficiently simulate complex quantum many-body systems by utilizing knowledge of their structure and entanglement. These methodologies have been adapted recently for solving the Navier-Stokes equations, which describe a ...
MindSpore Quantum: A User-Friendly, High-Performance, and AI-Compatible Quantum Computing Framework
Xusheng Xu, Jiangyu Cui, Zidong Cui +36 more·Jun 25, 2024
We introduce MindSpore Quantum, a pioneering hybrid quantum-classical framework with a primary focus on the design and implementation of noisy intermediate-scale quantum (NISQ) algorithms. Leveraging the robust support of MindSpore, an advanced open-...
YAQQ: yet another quantum quantizer design space exploration of quantum gate sets using novelty search
Aritra Sarkar, Akash Kundu, M. Steinberg +5 more·Jun 25, 2024
The standard model of quantum computation is based on quantum circuits, where the number and quality of the quantum gates composing the circuit influence the runtime and fidelity of the computation. The fidelity of the decomposition of quantum algori...
Using a feedback-based quantum algorithm to analyze the critical properties of the ANNNI model without classical optimization
G. Pexe, L. Rattighieri, A. Malvezzi +1 more·Jun 25, 2024
We investigate the critical properties of the Anisotropic Next-Nearest-Neighbor Ising (ANNNI) model using a feedback-based quantum algorithm (FQA). We demonstrate how this algorithm enables the computation of both ground and excited states without re...
All-optical production of Bose-Einstein condensates with 2 Hz repetition rate
Mareike Hetzel, Martin Quensen, Jan Simon Haase +1 more·Jun 24, 2024
Bose-Einstein condensates (BECs) of neutral atoms constitute an important quantum system for fundamental research and precision metrology. Many applications require short preparation times of BECs, for example, for optimized data acquisition rates in...