Papers
Live trends in quantum computing research, updated daily from arXiv.
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Qubit Platforms
Hardware platform mentions in abstracts — Photonic leads
Mind the gap: Achieving a super-Grover quantum speedup by jumping to the end
Alexander M. Dalzell, Nicola Pancotti, Earl T. Campbell +1 more·Dec 3, 2022
We present a quantum algorithm that has rigorous runtime guarantees for several families of binary optimization problems, including Quadratic Unconstrained Binary Optimization (QUBO), Ising spin glasses ($p$-spin model), and $k$-local constraint sati...
A Quantum Algorithm Framework for Discrete Probability Distributions With Applications to Rényi Entropy Estimation
Tongyang Li, Xinzhao Wang, Shengyu Zhang·Dec 3, 2022
Estimating statistical properties is fundamental in statistics and computer science. In this paper, we propose a unified quantum algorithm framework for estimating properties of discrete probability distributions, with estimating Rényi entropies as s...
Automatic Depth-Optimized Quantum Circuit Synthesis for Diagonal Unitary Matrices with Asymptotically Optimal Gate Count
Shihao Zhang, Kai Huang, Lvzhou Li·Dec 2, 2022
Current noisy intermediate-scale quantum (NISQ) devices can only execute small circuits with shallow depth, as they are still constrained by the presence of noise: quantum gates have error rates and quantum states are fragile due to decoherence. Henc...
Quantum NETwork: from theory to practice
K. Fang, Jingtian Zhao, Xiufan Li +2 more·Dec 2, 2022
The quantum internet is envisioned as the ultimate stage of the quantum revolution, which surpasses its classical counterpart in various aspects, such as the efficiency of data transmission, the security of network services, and the capability of inf...
Protecting the Quantum Interference of Cat States by Phase-Space Compression
X. Pan, Jonathan Schwinger, Ni-Ni Huang +7 more·Dec 2, 2022
Cat states, with their unique phase-space interference properties, are ideal candidates for understanding fundamental principles of quantum mechanics and performing key quantum information processing tasks. However, they are highly susceptible to pho...
Exploring the Limitations of Hybrid Adiabatic Quantum Computing for Emission Tomography Reconstruction
M. Nau, A. Vija, W. Gohn +2 more·Dec 2, 2022
Our study explores the feasibility of quantum computing in emission tomography reconstruction, addressing a noisy ill-conditioned inverse problem. In current clinical practice, this is typically solved by iterative methods minimizing a L2 norm. After...
Asymmetric Adaptive LDPC-Based Information Reconciliation for Industrial Quantum Key Distribution
N. Borisov, I. Petrov, A. Tayduganov·Dec 2, 2022
We develop a new approach for asymmetric LDPC-based information reconciliation in order to adapt to the current channel state and achieve better performance and scalability in practical resource-constrained QKD systems. The new scheme combines the ad...
Optical tweezers throw and catch single atoms
Hansub Hwang, Andrew Byun, Juyoung Park +2 more·Dec 2, 2022
Single atoms movable from one place to another would enable a flying quantum memory that can be used for quantum communication and quantum computing at the same time. Guided atoms, e.g., by optical tweezers, provide a partial solution, but the benefi...
Hybrid Quantum-Classical Autoencoders for End-to-End Radio Communication
Zsolt I. Tabi, Bence Bakó, Dániel Nagy +4 more·Dec 1, 2022
Quantum neural networks are emerging as poten-tial candidates to leverage noisy quantum processing units for applications. Here we introduce hybrid quantum-classical au-to encoders for end-to-end radio communication. In the physical layer of classica...
Quantum circuit fidelity estimation using machine learning
Avi Vadali, Rutuja Kshirsagar, P. Shyamsundar +1 more·Dec 1, 2022
The computational power of real-world quantum computers is limited by errors. When using quantum computers to perform algorithms which cannot be efficiently simulated classically, it is important to quantify the accuracy with which the computation ha...
Hybrid Gate-Pulse Model for Variational Quantum Algorithms
Zhiding Liang, Zhixin Song, Jinglei Cheng +8 more·Dec 1, 2022
Current quantum programs are mostly synthesized and compiled on the gate-level, where quantum circuits are composed of quantum gates. The gate-level workflow, however, introduces significant redundancy when quantum gates are eventually transformed in...
A Matrix Big Bang on a Quantum Computer
V. Chandra, Yuan Feng, M. McGuigan·Dec 1, 2022
M-theory is a mysterious theory that seeks to unite different string theories in one lower dimension. The most studied example is eleven dimensional but other dimensions have been considered. The non-critical M-theories seek to unite different non-cr...
Bespoke pulse design for robust rapid two-qubit gates with trapped ions
Seyed Shakib Vedaie, Eduardo J. P'aez, N. Nguyen +2 more·Dec 1, 2022
Two-qubit gate performance is vital for scaling up ion-trap quantum computing. Optimized quantum control is needed to achieve reductions in gate-time and gate error-rate. We describe two-qubit gates with addressed Raman beams within a linear trapped-...
SyReC Synthesizer: An MQT tool for synthesis of reversible circuits
Smaran Adarsh, Lukas Burgholzer, T. Manjunath +1 more·Dec 1, 2022
Reversible circuits form the backbone for many promising emerging technologies such as quantum computing, low power/adiabatic design, encoder/decoder devices, and several other applications. In the recent years, the scalable synthesis of such circuit...
Resource-frugal Hamiltonian eigenstate preparation via repeated quantum phase estimation measurements
Richard Meister, S. Benjamin·Dec 1, 2022
The preparation of Hamiltonian eigenstates is essential for many applications in quantum computing; the efficiency with which this can be done is of key interest. A canonical approach exploits the quantum phase estimation (QPE) algorithm. We adopt id...
Fault Models in Superconducting quantum circuits
Qifan Huang, Boxi Li, Minbo Gao +1 more·Dec 1, 2022
Fault models are indispensable for many EDA tasks, so as for design and implementation of quantum hardware. In this article, we propose a fault model for superconducting quantum systems. Our fault model reflects the real fault behavior in control sig...
An exponentially-growing family of universal quantum circuits
Mohammad Kordzanganeh, Pavel Sekatski, Leonid Fedichkin +1 more·Dec 1, 2022
Quantum machine learning has become an area of growing interest but has certain theoretical and hardware-specific limitations. Notably, the problem of vanishing gradients, or barren plateaus, renders the training impossible for circuits with high qub...
Towards practical Quantum Credit Risk Analysis
Emanuele Dri, Edoardo Giusto, Antonello Aita +1 more·Dec 1, 2022
In recent years a CRA (Credit Risk Analysis) quantum algorithm with a quadratic speedup over classical analogous methods has been introduced [1]. We propose a new variant of this quantum algorithm with the intent of overcoming some of the most signif...
Reliable Quantum Certification of Bosonic Code Preparations
Yadong Wu·Nov 30, 2022
Bosonic fault tolerant quantum computing requires preparations of Bosonic code states like cat states and GKP states with high fidelity and reliable quantum certification of these states. Although many proposals on preparing these states have been de...
Efficient classical algorithms for simulating symmetric quantum systems
E. Anschuetz, A. Bauer, B. Kiani +1 more·Nov 30, 2022
In light of recently proposed quantum algorithms that incorporate symmetries in the hope of quantum advantage, we show that with symmetries that are restrictive enough, classical algorithms can efficiently emulate their quantum counterparts given cer...