Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Application of Quantum Machine Learning in a Higgs Physics Study at the CEPC
Abdualazem Fadol, Q. Sha, Yaquan Fang +5 more·Sep 26, 2022
Machine learning has blossomed in recent decades and has become essential in many fields. It significantly solved some problems in particle physics -- particle reconstruction, event classification, etc. However, it is now time to break the limitation...
Evaluating the impact of noise on the performance of the Variational Quantum Eigensolver
Marita Oliv, A. Matic, Thomas Messerer +1 more·Sep 26, 2022
Quantum computers are expected to be highly beneficial for chemistry simulations, promising significant improvements in accuracy and speed. The most prominent algorithm for chemistry simulations on NISQ devices is the Variational Quantum Eigensolver (V...
Navigating the Dynamic Noise Landscape of Variational Quantum Algorithms with QISMET
Gokul Subramanian Ravi, Kaitlin N. Smith, Jonathan M. Baker +5 more·Sep 25, 2022
In the Noisy Intermediate Scale Quantum (NISQ) era, the dynamic nature of quantum systems causes noise sources to constantly vary over time. Transient errors from the dynamic NISQ noise landscape are challenging to comprehend and are especially detri...
Error-Mitigation-Aided Optimization of Parameterized Quantum Circuits: Convergence Analysis
Sharu Theresa Jose, O. Simeone·Sep 23, 2022
Variational quantum algorithms (VQAs) offer the most promising path to obtaining quantum advantages via noisy intermediate-scale quantum (NISQ) processors. Such systems leverage classical optimization to tune the parameters of a parameterized quantum...
Quantum algorithm for evaluating operator size with Bell measurements
Xi-Dan Hu, Tong Luo, Dan-Bo Zhang·Sep 22, 2022
Operator size growth describes the scrambling of operators in quantum dynamics and stands out as an essential physical concept for characterizing quantum chaos. Important as it is, a scheme for direct measuring operator size on a quantum computer is ...
Beyond Heisenberg Limit Quantum Metrology through Quantum Signal Processing
Yulong Dong, J. Gross, M. Niu·Sep 22, 2022
Leveraging quantum effects in metrology such as entanglement and coherence allows one to measure parameters with enhanced sensitivity [11]. However, time-dependent noise can disrupt such Heisenberg-limited amplification. We propose a quantum-metrolog...
Navigating the noise-depth tradeoff in adiabatic quantum circuits
Daniel Azses, M. Dupont, B. Evert +2 more·Sep 22, 2022
Adiabatic quantum algorithms solve computational problems by slowly evolving a trivial state to the desired solution. On an ideal quantum computer, the solution quality improves monotonically with increasing circuit depth. By contrast, increasing the...
On proving the robustness of algorithms for early fault-tolerant quantum computers
Rutuja Kshirsagar, Amara Katabarwa, Peter D. Johnson·Sep 22, 2022
The hope of the quantum computing field is that quantum architectures are able to scale up and realize fault-tolerant quantum computing. Due to engineering challenges, such ''cheap'' error correction may be decades away. In the meantime, we anticipat...
Symplectic circuits, entanglement, and stimulated Hawking radiation in analogue gravity
Anthony J. Brady, I. Agulló, Dimitrios Kranas·Sep 22, 2022
We introduce a convenient set of analytical tools (the Gaussian formalism) and diagrams (sym-plectic circuits) to analyze multi-mode scattering events in analog gravity, such as pair-creation a l´a Hawking by black hole and white hole analog event ho...
Iteration Complexity of Variational Quantum Algorithms
V. Kungurtsev, G. Korpas, Jakub Marecek +1 more·Sep 21, 2022
There has been much recent interest in near-term applications of quantum computers, i.e., using quantum circuits that have short decoherence times due to hardware limitations. Variational quantum algorithms (VQA), wherein an optimization algorithm im...
Long-range data transmission in a fault-tolerant quantum bus architecture
Shin Ho Choe, R. Koenig·Sep 20, 2022
We propose a fault-tolerant scheme for generating long-range entanglement at the ends of a rectangular array of qubits of length R with a square cross-section of m=O(log2R)\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepa...
Topological data analysis on noisy quantum computers
I. Akhalwaya, Shashanka Ubaru, K. Clarkson +6 more·Sep 19, 2022
Topological data analysis (TDA) is a powerful technique for extracting complex and valuable shape-related summaries of high-dimensional data. However, the computational demands of classical algorithms for computing TDA are exorbitant, and quickly bec...
Variational quantum algorithm for measurement extraction from the Navier-Stokes, Einstein, Maxwell, B-type, Lin-Tsien, Camassa-Holm, DSW, H-S, KdV-B, non-homogeneous KdV, generalized KdV, KdV, translational KdV, sKdV, B-L and Airy equations
Pete Rigas·Sep 16, 2022
Classical-quantum hybrid algorithms have recently garnered significant attention, which are characterized by combining quantum and classical computing protocols to obtain readout from quantum circuits of interest. Recent progress due to Lubasch et al...
Modeling Quantum Enhanced Sensing on a Quantum Computer
Cindy Tran, Tanaporn Na Narong, Eric S. Cooper·Sep 16, 2022
Quantum computers allow for direct simulation of the quantum interference and entanglement used in modern interferometry experiments with applications ranging from biological sensing to gravitational wave detection. Inspired by recent developments in...
Optimal Stochastic Resource Allocation for Distributed Quantum Computing
Napat Ngoenriang, Minrui Xu, Sucha Supittayapornpong +3 more·Sep 16, 2022
With the advent of interconnected quantum computers, i.e., distributed quantum computing (DQC), multiple quantum computers can now collaborate via quantum networks to perform massively complex computational tasks. However, DQC faces problems sharing ...
DQC2O: Distributed Quantum Computing for Collaborative Optimization in Future Networks
Napat Ngoenriang, Minrui Xu, Jiawen Kang +3 more·Sep 16, 2022
With the advantages of high-speed parallel processing, quantum computers can efficiently solve large-scale complex optimization problems in future networks. However, due to the uncertain qubit fidelity and quantum channel noise, distributed quantum c...
Automated design of quantum-optical experiments for device-independent quantum key distribution
Xavier Valcarce, P. Sekatski, É. Gouzien +2 more·Sep 14, 2022
Device-independent quantum key distribution (DIQKD) reduces the vulnerability to side-channel attacks of standard QKD protocols by removing the need for characterized quantum devices. The higher security guarantees come however, at the price of a cha...
Fault-Tolerant Preparation of Quantum Polar Codes Encoding One Logical Qubit
Ashutosh Goswami, M. Mhalla, V. Savin·Sep 14, 2022
This paper explores a new approach to fault-tolerant quantum computing (FTQC), relying on quantum polar codes. We consider quantum polar codes of Calderbank-Shor-Steane type, encoding one logical qubit, which we refer to as $\mathcal{Q}_1$ codes. Fir...
Optimizing Resource Efficiencies for Scalable Full-Stack Quantum Computers
Marco Fellous-Asiani, J. H. Chai, Y. Thonnart +3 more·Sep 12, 2022
In the race to build scalable quantum computers, minimizing the resource consumption of their full stack to achieve a target performance becomes crucial. It mandates a synergy of fundamental physics and engineering: the former for the microscopic asp...
Variational Quantum Algorithms for Computational Fluid Dynamics
D. Jaksch, P. Givi, A. Daley +1 more·Sep 11, 2022
Quantum computing uses the physical principles of very small systems to develop computing platforms which can solve problems that are intractable on conventional supercomputers. There are challenges not only in building the required hardware but also...