Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Integer programming using a single atom
Kapil Goswami, P. Schmelcher, Rick Mukherjee·Feb 26, 2024
Integer programming (IP), as the name suggests is an integer-variable-based approach commonly used to formulate real-world optimization problems with constraints. Currently, quantum algorithms reformulate the IP into an unconstrained form through the...
Quantum subroutine for variance estimation: algorithmic design and applications
Anna Bernasconi, Alessandro Berti, Gianna M. Del Corso +2 more·Feb 26, 2024
Quantum computing sets the foundation for new ways of designing algorithms, thanks to the peculiar properties inherited by quantum mechanics. The exploration of this new paradigm faces new challenges concerning which field quantum speedup can be achi...
Quantum Hybrid Diffusion Models for Image Synthesis
Francesca De Falco, Andrea Ceschini, A. Sebastianelli +2 more·Feb 25, 2024
In this paper, we propose a new methodology to design quantum hybrid diffusion models, derived from classical U-Nets with ResNet and Attention layers. Specifically, we propose two possible different hybridization schemes combining quantum computing’s...
Universal quantum operations and ancilla-based read-out for tweezer clocks
Ran Finkelstein, R. Tsai, Xiangkai Sun +6 more·Feb 25, 2024
Enhancing the precision of measurements by harnessing entanglement is a long-sought goal in quantum metrology1,2. Yet attaining the best sensitivity allowed by quantum theory in the presence of noise is an outstanding challenge, requiring optimal pro...
Nano antenna-assisted quantum dots emission into high-index planar waveguide
Xiao Yu, J. Weeber, L. Markey +4 more·Feb 21, 2024
Integrated quantum photonic circuits require the efficient coupling of photon sources to photonic waveguides. Hybrid plasmonic/photonic platforms are a promising approach, taking advantage of both plasmon modal confinement for efficient coupling to a...
Grover's Oracle for the Shortest Vector Problem and Its Application in Hybrid Classical–Quantum Solvers
Miloš Prokop, P. Wallden, David Joseph·Feb 21, 2024
Finding the shortest vector in a lattice is a problem that is believed to be hard both for classical and quantum computers. Many major postquantum secure cryptosystems base their security on the hardness of the shortest vector problem (SVP) (Moody, 2...
Quantum Computation of Conical Intersections on a Programmable Superconducting Quantum Processor.
Shoukuan Zhao, Diandong Tang, Xiaoxiao Xiao +7 more·Feb 20, 2024
Conical intersections (CIs) are pivotal in many photochemical processes. Traditional quantum chemistry methods, such as the state-average multiconfigurational methods, face computational hurdles in solving the electronic Schrödinger equation within t...
A joint optimization approach of parameterized quantum circuits with a tensor network
Clara Ferreira Cores, Kaur Kristjuhan, M. Jones·Feb 19, 2024
Despite the advantage quantum computers are expected to deliver when performing simulations compared to their classical counterparts, the current noisy intermediate-scale quantum (NISQ) devices remain limited in their capabilities. The training of pa...
Studying the Impact of Quantum-Specific Hyperparameters on Hybrid Quantum-Classical Neural Networks
K. Zaman, Tasnim Ahmed, Muhammad Kashif +3 more·Feb 16, 2024
In current noisy intermediate-scale quantum devices, hybrid quantum-classical neural networks (HQNNs) represent a promising solution that combines the strengths of classical machine learning with quantum computing capabilities. Compared to classical ...
A Comparative Analysis of Hybrid-Quantum Classical Neural Networks
K. Zaman, Tasnim Ahmed, M. Hanif +2 more·Feb 16, 2024
Hybrid Quantum-Classical Machine Learning (ML) is an emerging field, amalgamating the strengths of both classical neural networks and quantum variational circuits on the current noisy intermediate-scale quantum devices. This paper performs an extensi...
Bosonic Pauli+: Efficient Simulation of Concatenated Gottesman-Kitaev-Preskill Codes
Florian Hopfmueller, Maxime Tremblay, P. Jean +2 more·Feb 14, 2024
A promising route towards fault-tolerant quantum error correction is the concatenation of a Gottesman-Kitaev-Preskill (GKP) code with a qubit code. Development of such concatenated codes requires simulation tools which realistically model noise, whil...
Superconducting quantum memory with a suspended coaxial resonator
Lev Krayzman, C. Lei, S. Ganjam +3 more·Feb 14, 2024
A promising way to store quantum information is by encoding it in the bosonic excitations of microwave resonators. This provides for long coherence times, low dephasing rates, as well as a hardware-efficient approach to quantum error correction. Ther...
Quantum Computing-Enhanced Algorithm Unveils Novel Inhibitors for KRAS
Mohammad Ghazi Vakili, Christoph Gorgulla, AkshatKumar Nigam +19 more·Feb 13, 2024
The discovery of small molecules with therapeutic potential is a long-standing challenge in chemistry and biology. Researchers have increasingly leveraged novel computational techniques to streamline the drug development process to increase hit rates...
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 ...
Mixed-integer linear programming solver using Benders decomposition assisted by a neutral-atom quantum processor
M. Naghmouchi, W. Coelho·Feb 8, 2024
This paper presents a new hybrid classical-quantum approach to solve Mixed Integer Linear Programming (MILP) using neutral atom quantum computations. We apply Benders decomposition (BD) to segment MILPs into a master problem (MP) and a subproblem (SP...
Superconducting Qubits above 20 GHz Operating over 200 mK
Alexander Anferov, Shannon P. Harvey, Fanghui Wan +2 more·Feb 5, 2024
Current state-of-the-art superconducting microwave qubits are cooled to extremely low temperatures to avoid sources of decoherence. Higher qubit operating temperatures would significantly increase the cooling power available, which is desirable for s...
Mixed State Variational Quantum Eigensolver for the Estimation of Expectation Values at Finite Temperature
Giuseppe Clemente·Jan 30, 2024
We introduce a novel hybrid quantum-classical algorithm for the near-term computation of expectation values in quantum systems at finite temperatures. This is based on two stages: on the first one, a mixed state approximating a fiducial truncated den...
Retrieving past quantum features with deep hybrid classical-quantum reservoir computing
J. Nokkala, G. Giorgi, R. Zambrini·Jan 30, 2024
Machine learning techniques have achieved impressive results in recent years and the possibility of harnessing the power of quantum physics opens new promising avenues to speed up classical learning methods. Rather than viewing classical and quantum ...
State-Averaged Orbital-Optimized VQE: A quantum algorithm for the democratic description of ground and excited electronic states
Martin Beseda, Silvie Ill'esov'a, Saad Yalouz +1 more·Jan 22, 2024
The electronic structure problem is one of the main problems in modern theoretical chemistry. While there are many already-established methods both for the problem itself and its applications like semi-classical or quantum dynamics, it remains a comp...
Practicality of training a quantum-classical machine in the NISQ era
T. Dutta, Alex Jin, Clarence Liu Huihong +2 more·Jan 22, 2024
Advancements in classical computing have significantly enhanced machine learning applications, yet inherent limitations persist in terms of energy, resource and speed. Quantum machine learning algorithms offer a promising avenue to overcome these lim...