Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
A Hybrid Quantum-Classical Approach based on the Hadamard Transform for the Convolutional Layer
Hongyi Pan, Xin Zhu, S. Atici +1 more·May 27, 2023
In this paper, we propose a novel Hadamard Transform (HT)-based neural network layer for hybrid quantum-classical computing. It implements the regular convolutional layers in the Hadamard transform domain. The idea is based on the HT convolution theo...
NISQ-compatible approximate quantum algorithm for unconstrained and constrained discrete optimization
M. Perelshtein, A. Pakhomchik, Artem Melnikov +7 more·May 23, 2023
Quantum algorithms are getting extremely popular due to their potential to significantly outperform classical algorithms. Yet, applying quantum algorithms to optimization problems meets challenges related to the efficiency of quantum algorithms train...
Braiding-based quantum control of a Majorana qubit built from quantum dots
P. Boross, Andr'as P'alyi·May 15, 2023
Topology-related ideas might lead to noise-resilient quantum computing. For example, it is expected that the slow spatial exchange (`braiding') of Majorana zero modes in superconductors yields quantum gates that are robust against disorder. Here, we ...
Meta-optimization of resources on quantum computers
I. Mohammad, Matej Pivoluska, Martin Plesch·May 15, 2023
The current state of quantum computing is commonly described as the Noisy Intermediate-Scale Quantum era. Available computers contain a few dozens of qubits and can perform a few dozens of operations before the inevitable noise erases all information...
Hybrid Quantum Algorithms integrating QAOA, Penalty Dephasing and Zeno Effect for Solving Binary Optimization Problems with Multiple Constraints
Ke Wan, Yiwen Liu·May 14, 2023
When tackling binary optimization problems using quantum algorithms, the conventional Ising representation and Quantum Approximate Optimization Algorithm (QAOA) encounter difficulties in efficiently handling errors for large-scale problems involving ...
Quantum computing for electronic structure analysis: Ground state energy and molecular properties calculations
Nouhaila Innan, Muhammad Al-Zafar Khan, Mohamed Bennai·May 13, 2023
The computation of electronic structure properties at the quantum level is a crucial aspect of modern physics research. However, conventional methods can be computationally demanding for larger, more complex systems. To address this issue, we present...
A resource-efficient quantum-classical hybrid algorithm for energy gap evaluation
Yongdan Yang, Ying Li, Xiaosi Xu +1 more·May 12, 2023
Estimating the eigenvalue or energy gap of a Hamiltonian H is vital for studying quantum many-body systems. Particularly, many of the problems in quantum chemistry, condensed matter physics, and nuclear physics investigate the energy gap between two ...
A Full Quantum Generative Adversarial Network Model for High Energy Physics Simulations
F. Rehm, S. Vallecorsa, M. Grossi +2 more·May 12, 2023
The prospect of quantum computing with a potential exponential speed-up compared to classical computing identifies it as a promising method in the search for alternative future High Energy Physics (HEP) simulation approaches. HEP simulations, such as...
Parallelizing Quantum-Classical Workloads: Profiling the Impact of Splitting Techniques
Tuhin Khare, Ritajit Majumdar, Rajiv Sangle +3 more·May 11, 2023
Quantum computers are the next evolution of computing hardware. Quantum devices are being exposed through the same familiar cloud platforms used for classical computers, and enabling seamless execution of hybrid applications that combine quantum and ...
Parallel hybrid quantum-classical machine learning for kernelized time-series classification
J. Baker, Gilchan Park, Kwangmin Yu +3 more·May 10, 2023
Supervised time-series classification garners widespread interest because of its applicability throughout a broad application domain including finance, astronomy, biosensors, and many others. In this work, we tackle this problem with hybrid quantum-c...
Architectural Vision for Quantum Computing in the Edge-Cloud Continuum
Alireza Furutanpey, Johanna Barzen, Marvin Bechtold +4 more·May 9, 2023
Quantum processing units (QPUs) are currently exclusively available from cloud vendors. However, with recent advancements, hosting QPUs will soon be possible everywhere. Existing work has yet to draw from research in edge computing to explore systems...
The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
Muhammad Kashif, S. Al-kuwari·May 8, 2023
Recent advances in quantum computing and machine learning have brought about a promising intersection of these two fields, leading to the emergence of quantum machine learning (QML). However, the integration of quantum computing and machine learning ...
Folded Spectrum VQE: A Quantum Computing Method for the Calculation of Molecular Excited States
Lila Cadi Tazi, A. Thom·May 8, 2023
The recent developments of quantum computing present novel potential pathways for quantum chemistry as the scaling of the computational power of quantum computers could be harnessed to naturally encode and solve electronic structure problems. Theoret...
Photocatalytic Oxidation in Few‐Layer Tellurene for Loss‐Invariant Integrated Photonic Resonance Trimming
Dun Mao, Yixiu Wang, Hwaseob Lee +9 more·May 5, 2023
Two‐dimensional (2D) materials with unique physicochemical properties promote photocatalytic activities. As the 2D material composites research studies the statistical average of complex catalytic behaviors, an integrated photonic platform allows for...
Verifiable Blind Quantum Computing with Trapped Ions and Single Photons.
P. Drmota, D. P. Nadlinger, D. Main +9 more·May 4, 2023
We report the first hybrid matter-photon implementation of verifiable blind quantum computing. We use a trapped-ion quantum server and a client-side photonic detection system networked via a fiber-optic quantum link. The availability of memory qubits...
Variational quantum algorithms for simulation of Lindblad dynamics
Tasneem M Watad, N. Lindner·May 4, 2023
We introduce variational hybrid classical-quantum algorithms to simulate the Lindblad master equation and its adjoint for time-evolving Markovian open quantum systems and quantum observables. Our methods are based on a direct representation of densit...
Obfuscating Quantum Hybrid-Classical Algorithms for Security and Privacy
S. Upadhyay, Swaroop Ghosh·May 3, 2023
As quantum computing gains popularity, it’s crucial to tackle security and privacy issues upfront. One major concern is the involvement of third-party tools and hardware. With more quantum computing services available, even from less reputable source...
Reliable Quantum Communications Based on Asymmetry in Distillation and Coding
L. Valentini, R. B. Christensen, P. Popovski +1 more·May 1, 2023
The reliable provision of entangled qubits is an essential precondition in a variety of schemes for distributed quantum computing. This is challenged by multiple nuisances, such as errors during the transmission over quantum links, but also due to de...
Optimizing Variational Quantum Algorithms with qBang: Efficiently Interweaving Metric and Momentum to Navigate Flat Energy Landscapes
David Fitzek, Robert S. Jonsson, Werner Dobrautz +1 more·Apr 27, 2023
Variational quantum algorithms (VQAs) represent a promising approach to utilizing current quantum computing infrastructures. VQAs are based on a parameterized quantum circuit optimized in a closed loop via a classical algorithm. This hybrid approach ...
Quantum Computing Applications for Flight Trajectory Optimization
Henry Makhanov, Kanav Setia, Junyu Liu +2 more·Apr 27, 2023
Major players in the global aerospace industry are shifting their focus toward achieving net carbon-neutral operations by 2050. A considerable portion of the overall carbon emission reduction is expected to come from new aircraft technologies, such a...