Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Verifiable blind quantum computation with identity authentication for different types of clients
Junyu Quan, Qin Li, Lvzhou Li·Oct 18, 2022
Quantum computing has considerable advantages in solving some problems over its classical counterpart. Currently various physical systems are developed to construct quantum computers but it is still challenging and the first use of quantum computers ...
Digital Discovery of 100 diverse Quantum Experiments with PyTheus
Carlos Ruiz-Gonzalez, Sören Arlt, J. Petermann +6 more·Oct 18, 2022
Photons are the physical system of choice for performing experimental tests of the foundations of quantum mechanics. Furthermore, photonic quantum technology is a main player in the second quantum revolution, promising the development of better senso...
Ancilla-driven blind quantum computation for clients with different quantum capabilities
Qunfeng Dai, Junyu Quan, X. Lou +1 more·Oct 18, 2022
Blind quantum computation (BQC) allows a client with limited quantum power to delegate his quantum computational task to a powerful server and still keep his input, output, and algorithm private. There are mainly two kinds of models about BQC, namely...
Agile Practices for Quantum Software Development: Practitioners’ Perspectives
A. Khan, M. Akbar, Aakash Ahmad +5 more·Oct 18, 2022
Quantum software engineering is an emerging genre of software engineering that exploit principles of quantum bits (Qubit) and quantum gates (Qgates) to solve complex computing problems effeciently than their classical counterparts. According to its p...
Quantum Machine Learning using the ZXW-Calculus
Mark Koch·Oct 18, 2022
The field of quantum machine learning (QML) explores how quantum computers can be used to more efficiently solve machine learning problems. As an application of hybrid quantum-classical algorithms, it promises a potential quantum advantages in the ne...
Realizing quantum gates with optically-addressable $^{171}$Yb$^{+}$ ion qudits
M. Aksenov, I. Zalivako, I. Semerikov +6 more·Oct 17, 2022
The use of multilevel information carriers, also known as qudits, is a promising path for exploring scalability of quantum computing devices. Here we present a proof-of-principle realization of a quantum processor register that uses optically-address...
A quantum algorithm for the linear response of nuclei
Abhishek, Nifeeya Singh, P. Siwach +1 more·Oct 17, 2022
We present a quantum algorithm to obtain the response of the atomic nucleus to a small external electromagnetic perturbation. For the first time, such an algorithm is implemented on quantum computers to obtain the Giant Dipole Resonance cross-section...
TopGen: Topology-Aware Bottom-Up Generator for Variational Quantum Circuits
Jinglei Cheng, Hanrui Wang, Zhiding Liang +3 more·Oct 15, 2022
Variational Quantum Algorithms (VQA) are promising to demonstrate quantum advantages on near-term devices. Designing ansatz, a variational circuit with parameterized gates, is of paramount importance for VQA as it lays the foundation for parameter op...
Simulating scalar field theories on quantum computers with limited resources
A. Li, A. Macridin, S. Mrenna +1 more·Oct 14, 2022
We present a quantum algorithm for implementing $\phi^4$ lattice scalar field theory on qubit computers. The field is represented in the discretized field amplitude basis. The number of qubits and elementary gates required by the implementation of th...
Optimizing Rydberg Gates for Logical Qubit Performance
Sven Jandura, Jeff D. Thompson, G. Pupillo·Oct 13, 2022
Robust gate sequences are widely used to reduce the sensitivity of gate operations to experimental imperfections. Typically, the optimization minimizes the average gate error, however, recent work in quantum error correction has demonstrated that the...
Non-uniformity and Quantum Advice in the Quantum Random Oracle Model
Qipeng Liu·Oct 13, 2022
QROM (quantum random oracle model), introduced by Boneh et al. (Asiacrypt 2011), captures all generic algorithms. However, it fails to describe non-uniform quantum algorithms with preprocessing power, which receives a piece of bounded classical or qu...
Exploring the optimality of approximate state preparation quantum circuits with a genetic algorithm
Tom Rindell, Berat Yenilen, Niklas Halonen +3 more·Oct 12, 2022
We study the approximate state preparation problem on noisy intermediate-scale quantum (NISQ) computers by applying a genetic algorithm to generate quantum circuits for state preparation. The algorithm can account for the specific characteristics of ...
CNOT-Efficient Circuits for Arbitrary Rank Many-Body Fermionic and Qubit Excitations.
I. Magoulas, Francesco A. Evangelista·Oct 11, 2022
Efficient quantum circuits are necessary for realizing quantum algorithms on noisy intermediate-scale quantum devices. Fermionic excitations entering unitary coupled-cluster (UCC) ansätze give rise to quantum circuits containing CNOT "staircases" who...
Quantum-classical tradeoffs and multi-controlled quantum gate decompositions in variational algorithms
T. Tomesh, Nicholas Allen, Zain Saleem·Oct 10, 2022
The computational capabilities of near-term quantum computers are limited by the noisy execution of gate operations and a limited number of physical qubits. Hybrid variational algorithms are well-suited to near-term quantum devices because they allow...
Quantifying quantum causal influences
Lucas Hutter, R. Chaves, R. Nery +2 more·Oct 9, 2022
Causal influences are at the core of any empirical science, the reason why its quantification is of paramount relevance for the mathematical theory of causality and applications. Quantum correlations, however, challenge our notion of cause and effect...
Benchmarking multi-qubit gates -- I: Metrological aspects
Bharath Hebbe Madhusudhana·Oct 9, 2022
Accurate and precise control of large quantum systems is paramount to achieve practical advantages on quantum devices. Therefore, benchmarking the hardware errors in quantum computers has drawn significant attention lately. Existing benchmarks for di...
Ab-initio tree-tensor-network digital twin for quantum computer benchmarking in 2D
Daniel Jaschke, A. Pagano, S. Weber +1 more·Oct 7, 2022
Large-scale numerical simulations of the Hamiltonian dynamics of a noisy intermediate scale quantum computer—a digital twin—could play a major role in developing efficient and scalable strategies for tuning quantum algorithms for specific hardware. V...
Solution of SAT problems with the adaptive-bias quantum approximate optimization algorithm
Yunlong Yu, Chenfeng Cao, Xiang-Bin Wang +2 more·Oct 6, 2022
The quantum approximate optimization algorithm (QAOA) is a promising method for solving certain classical combinatorial optimization problems on near-term quantum devices. When employing the QAOA to 3-SAT and Max-3-SAT problems, the quantum cost exhi...
Quantum simulation of preferred tautomeric state prediction
Yu Shee, Tzu-Lan Yeh, Jeng-Yueh Hsiao +3 more·Oct 6, 2022
Prediction of tautomers plays an essential role in computer-aided drug discovery. However, it remains a challenging task nowadays to accurately predict the canonical tautomeric form of a given drug-like molecule. Lack of extensive tautomer databases,...
Bayesian autotuning of Hubbard model quantum simulators
L. Szulakowska, J. Dai·Oct 6, 2022
Spins in gated semiconductor quantum dots (QDs) are a promising platform for Hubbard model simulation inaccessible to computation. Precise control of the tunnel couplings by tuning voltages on metallic gates is vital for a successful QD-based simulat...