Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Quantum algorithm for ground state energy estimation using circuit depth with exponentially improved dependence on precision
Guoming Wang, Daniel Stilck Francca, Ruizhe Zhang +2 more·Sep 14, 2022
A milestone in the field of quantum computing will be solving problems in quantum chemistry and materials faster than state-of-the-art classical methods. The current understanding is that achieving quantum advantage in this area will require some deg...
Experimental Benchmarking of an Automated Deterministic Error-Suppression Workflow for Quantum Algorithms
Pranav S. Mundada, Aaron Barbosa, Smarak Maity +8 more·Sep 14, 2022
Excitement about the promise of quantum computers is tempered by the reality that the hardware remains exceptionally fragile and error-prone, forming a bottleneck in the development of novel applications. In this manuscript, we describe and experimen...
High-Purity Entanglement of Hot Propagating Modes Using Nonreciprocity
Lindsay Orr, Saeed A. Khan, Nils Buchholz +2 more·Sep 14, 2022
Distributed quantum information processing and communication protocols demand the ability to generate entanglement among propagating modes. However, thermal fluctuations can severely limit the fidelity and purity of propagating entangled states, espe...
How Much Structure Is Needed for Huge Quantum Speedups?
S. Aaronson·Sep 14, 2022
I survey, for a general scientific audience, three decades of research into which sorts of problems admit exponential speedups via quantum computers -- from the classics (like the algorithms of Simon and Shor), to the breakthrough of Yamakawa and Zha...
Syndrome decoding meets multiple instances
Haoxuan Wu, Jincheng Zhuang·Sep 14, 2022
. The NP-hard problem of decoding random linear codes is crucial to both coding theory and cryptography. In particular, this problem underpins the security of many code based post-quantum cryptographic schemes. The state-of-art algorithms for solving...
Shared control of a 16 semiconductor quantum dot crossbar array
F. Borsoi, N. Hendrickx, Valentin John +7 more·Sep 14, 2022
The efficient control of a large number of qubits is one of the most challenging aspects for practical quantum computing. Current approaches in solid-state quantum technology are based on brute-force methods, where each and every qubit requires at le...
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...
Thought experiments in a quantum computer
N. Nurgalieva, Simon V. Mathis, L. D. Rio +1 more·Sep 13, 2022
We introduce a software package that allows users to design and run simulations of thought experiments in quantum theory. In particular, it covers cases where several reasoning agents are modelled as quantum systems, such as Wigner's friend experimen...
Group-covariant extreme and quasiextreme channels
L. Memarzadeh, B. Sanders·Sep 13, 2022
Constructing all extreme instances of the set of completely positive trace-preserving (CPTP) maps, i.e., quantum channels, is a challenging valuable open problem in quantum information theory. Here we introduce a systematic approach that enables us t...
Self-Healing of Trotter Error in Digital Adiabatic State Preparation.
L. Kocia, Fernando A. Calderon-Vargas, Matthew D. Grace +4 more·Sep 13, 2022
Adiabatic time evolution can be used to prepare a complicated quantum many-body state from one that is easier to synthesize and Trotterization can be used to implement such an evolution digitally. The complex interplay between nonadiabaticity and dig...
Embedding the MIS problem for non-local graphs with bounded degree using 3D arrays of atoms
Constantin Dalyac, L. Henriet·Sep 12, 2022
In the past years, many quantum algorithms have been proposed to tackle hard combinatorial problems. These algorithms, which have been studied in depth in complexity theory, are at the heart of many industrial applications. In particular, the Maximum...
The role of entanglement for enhancing the efficiency of quantum kernels towards classification
Dikshant Sharma, Parvinder Singh, Atul Kumar·Sep 12, 2022
Quantum kernels are considered as potential resources to illustrate benefits of quantum computing in machine learning. Considering the impact of hyperparameters on the performance of a classical machine learning model, it is imperative to identify pr...
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...
Post-selection-free preparation of high-quality physical qubits
Ben Barber, Neil I. Gillespie, J. Taylor·Sep 12, 2022
Rapidly improving gate fidelities for coherent operations mean that errors in state preparation and measurement (SPAM) may become a dominant source of error for fault-tolerant operation of quantum computers. This is particularly acute in superconduct...
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...
Universal Quantum Electron Microscopy: A Small-Scale Quantum Computing Application with Provable Advantage
H. Okamoto·Sep 11, 2022
We propose a simple design of a quantum electron microscope that ``queries'' a beam-sensitive phase object, such as a biological specimen, as part of quantum computation. Lower quantum query complexity, not the time complexity, of a quantum algorithm...
Using Quantum computers to speed up dynamic testing of software
A. Miranskyy·Sep 11, 2022
Software under test can be analyzed dynamically, while it is being executed, to find defects. However, as the number and possible values of input parameters increase, the cost of dynamic testing rises. This paper examines whether quantum computers (Q...
Communication-Efficient Quantum Algorithm for Distributed Machine Learning.
Hao Tang, Boning Li, Guoqing Wang +5 more·Sep 11, 2022
The growing demands of remote detection and an increasing amount of training data make distributed machine learning under communication constraints a critical issue. This work provides a communication-efficient quantum algorithm that tackles two trad...
Simulating Open Quantum System Dynamics on NISQ Computers with Generalized Quantum Master Equations.
Yuchen Wang, Ellen Mulvihill, Zixuan Hu +7 more·Sep 11, 2022
We present a quantum algorithm based on the generalized quantum master equation (GQME) approach to simulate open quantum system dynamics on noisy intermediate-scale quantum (NISQ) computers. This approach overcomes the limitations of the Lindblad equ...
Quantum Computing Approach for Energy Optimization in a Prosumer Community
C. Mastroianni, L. Scarcello, J. Settino·Sep 9, 2022
This paper presents a quantum approach for the formulation and solution of the prosumer problem, i.e., the problem of minimizing the energy cost incurred by a number of users in an energy community, while addressing the constraints given by the balan...