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is-grey tooltip is-tooltip-top" data-tooltip="Distributed, Parallel, and Cluster Computing">cs.DC</span> </div> </div> <p class="title is-5 mathjax"> Enhanced Quantum Circuit Cutting Framework for Sampling Overhead Reduction </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Chen%2C+P">Po-Hung Chen</a>, <a href="/search/cs?searchtype=author&amp;query=Chiou%2C+D">Dah-Wei Chiou</a>, <a href="/search/cs?searchtype=author&amp;query=Jiang%2C+J+R">Jie-Hong Roland Jiang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2412.17704v2-abstract-short" style="display: inline;"> The recent quantum circuit cutting technique enables simulating large quantum circuits on distributed smaller devices, significantly extending the capabilities of current noisy intermediate-scale quantum (NISQ) hardware. However, this method incurs substantial classical postprocessing and additional quantum resource demands, as both postprocessing complexity and sampling overhead scale exponential&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2412.17704v2-abstract-full').style.display = 'inline'; document.getElementById('2412.17704v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2412.17704v2-abstract-full" style="display: none;"> The recent quantum circuit cutting technique enables simulating large quantum circuits on distributed smaller devices, significantly extending the capabilities of current noisy intermediate-scale quantum (NISQ) hardware. However, this method incurs substantial classical postprocessing and additional quantum resource demands, as both postprocessing complexity and sampling overhead scale exponentially with the number of cuts introduced. In this work, we propose an enhanced circuit cutting framework ShotQC with effective sampling overhead reduction. It effectively reduces sampling overhead through two key optimizations: shot distribution and cut parameterization. The former employs an adaptive Monte Carlo method to dynamically allocate more quantum resources to subcircuit configurations that contribute more to variance in the final outcome. The latter leverages additional degrees of freedom in postprocessing to further suppress variance. By integrating these optimization methods, ShotQC achieves significant reductions in sampling overhead without increasing classical postprocessing complexity, as demonstrated on a range of benchmark circuits. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2412.17704v2-abstract-full').style.display = 'none'; document.getElementById('2412.17704v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 24 December, 2024; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 23 December, 2024; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2024. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">11 pages, 6 figures, submitted to the International Symposium on Computer Architecture (ISCA), 2025</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2012.02530">arXiv:2012.02530</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2012.02530">pdf</a>, <a href="https://arxiv.org/format/2012.02530">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Machine Learning">cs.LG</span> </div> </div> <p class="title is-5 mathjax"> Logic Synthesis Meets Machine Learning: Trading Exactness for Generalization </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Rai%2C+S">Shubham Rai</a>, <a href="/search/cs?searchtype=author&amp;query=Neto%2C+W+L">Walter Lau Neto</a>, <a href="/search/cs?searchtype=author&amp;query=Miyasaka%2C+Y">Yukio Miyasaka</a>, <a href="/search/cs?searchtype=author&amp;query=Zhang%2C+X">Xinpei Zhang</a>, <a href="/search/cs?searchtype=author&amp;query=Yu%2C+M">Mingfei Yu</a>, <a href="/search/cs?searchtype=author&amp;query=Fujita%2C+Q+Y+M">Qingyang Yi Masahiro Fujita</a>, <a href="/search/cs?searchtype=author&amp;query=Manske%2C+G+B">Guilherme B. Manske</a>, <a href="/search/cs?searchtype=author&amp;query=Pontes%2C+M+F">Matheus F. Pontes</a>, <a href="/search/cs?searchtype=author&amp;query=Junior%2C+L+S+d+R">Leomar S. da Rosa Junior</a>, <a href="/search/cs?searchtype=author&amp;query=de+Aguiar%2C+M+S">Marilton S. de Aguiar</a>, <a href="/search/cs?searchtype=author&amp;query=Butzen%2C+P+F">Paulo F. Butzen</a>, <a href="/search/cs?searchtype=author&amp;query=Chien%2C+P">Po-Chun Chien</a>, <a href="/search/cs?searchtype=author&amp;query=Huang%2C+Y">Yu-Shan Huang</a>, <a href="/search/cs?searchtype=author&amp;query=Wang%2C+H">Hoa-Ren Wang</a>, <a href="/search/cs?searchtype=author&amp;query=Jiang%2C+J+R">Jie-Hong R. Jiang</a>, <a href="/search/cs?searchtype=author&amp;query=Gu%2C+J">Jiaqi Gu</a>, <a href="/search/cs?searchtype=author&amp;query=Zhao%2C+Z">Zheng Zhao</a>, <a href="/search/cs?searchtype=author&amp;query=Jiang%2C+Z">Zixuan Jiang</a>, <a href="/search/cs?searchtype=author&amp;query=Pan%2C+D+Z">David Z. Pan</a>, <a href="/search/cs?searchtype=author&amp;query=de+Abreu%2C+B+A">Brunno A. de Abreu</a>, <a href="/search/cs?searchtype=author&amp;query=Campos%2C+I+d+S">Isac de Souza Campos</a>, <a href="/search/cs?searchtype=author&amp;query=Berndt%2C+A">Augusto Berndt</a>, <a href="/search/cs?searchtype=author&amp;query=Meinhardt%2C+C">Cristina Meinhardt</a>, <a href="/search/cs?searchtype=author&amp;query=Carvalho%2C+J+T">Jonata T. Carvalho</a>, <a href="/search/cs?searchtype=author&amp;query=Grellert%2C+M">Mateus Grellert</a> , et al. (15 additional authors not shown) </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2012.02530v2-abstract-short" style="display: inline;"> Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is completely-specified, the implementation accurately represents the function. If the function is incompletely-specified, the implementation has to be true only on the care set. While most of the algorithms in logic synthes&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2012.02530v2-abstract-full').style.display = 'inline'; document.getElementById('2012.02530v2-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2012.02530v2-abstract-full" style="display: none;"> Logic synthesis is a fundamental step in hardware design whose goal is to find structural representations of Boolean functions while minimizing delay and area. If the function is completely-specified, the implementation accurately represents the function. If the function is incompletely-specified, the implementation has to be true only on the care set. While most of the algorithms in logic synthesis rely on SAT and Boolean methods to exactly implement the care set, we investigate learning in logic synthesis, attempting to trade exactness for generalization. This work is directly related to machine learning where the care set is the training set and the implementation is expected to generalize on a validation set. We present learning incompletely-specified functions based on the results of a competition conducted at IWLS 2020. The goal of the competition was to implement 100 functions given by a set of care minterms for training, while testing the implementation using a set of validation minterms sampled from the same function. We make this benchmark suite available and offer a detailed comparative analysis of the different approaches to learning <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2012.02530v2-abstract-full').style.display = 'none'; document.getElementById('2012.02530v2-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 15 December, 2020; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 4 December, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> December 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">In this 23 page manuscript, we explore the connection between machine learning and logic synthesis which was the main goal for International Workshop on logic synthesis. It includes approaches applied by ten teams spanning 6 countries across the world</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/2007.09304">arXiv:2007.09304</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/2007.09304">pdf</a>, <a href="https://arxiv.org/format/2007.09304">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Emerging Technologies">cs.ET</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Symbolic Computation">cs.SC</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Quantum Physics">quant-ph</span> </div> </div> <p class="title is-5 mathjax"> Bit-Slicing the Hilbert Space: Scaling Up Accurate Quantum Circuit Simulation to a New Level </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Tsai%2C+Y">Yuan-Hung Tsai</a>, <a href="/search/cs?searchtype=author&amp;query=Jiang%2C+J+R">Jie-Hong R. Jiang</a>, <a href="/search/cs?searchtype=author&amp;query=Jhang%2C+C">Chiao-Shan Jhang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="2007.09304v1-abstract-short" style="display: inline;"> Quantum computing is greatly advanced in recent years and is expected to transform the computation paradigm in the near future. Quantum circuit simulation plays a key role in the toolchain for the development of quantum hardware and software systems. However, due to the enormous Hilbert space of quantum states, simulating quantum circuits with classical computers is extremely challenging despite n&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2007.09304v1-abstract-full').style.display = 'inline'; document.getElementById('2007.09304v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="2007.09304v1-abstract-full" style="display: none;"> Quantum computing is greatly advanced in recent years and is expected to transform the computation paradigm in the near future. Quantum circuit simulation plays a key role in the toolchain for the development of quantum hardware and software systems. However, due to the enormous Hilbert space of quantum states, simulating quantum circuits with classical computers is extremely challenging despite notable efforts have been made. In this paper, we enhance quantum circuit simulation in two dimensions: accuracy and scalability. The former is achieved by using an algebraic representation of complex numbers; the latter is achieved by bit-slicing the number representation and replacing matrix-vector multiplication with symbolic Boolean function manipulation. Experimental results demonstrate that our method can be superior to the state-of-the-art for various quantum circuits and can simulate certain benchmark families with up to tens of thousands of qubits. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('2007.09304v1-abstract-full').style.display = 'none'; document.getElementById('2007.09304v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 17 July, 2020; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> July 2020. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">9 pages, 2 figures</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1911.04112">arXiv:1911.04112</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1911.04112">pdf</a>, <a href="https://arxiv.org/format/1911.04112">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Logic in Computer Science">cs.LO</span> <span class="tag is-small is-grey tooltip is-tooltip-top" data-tooltip="Computational Complexity">cs.CC</span> </div> </div> <p class="title is-5 mathjax"> Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Lee%2C+N">Nian-Ze Lee</a>, <a href="/search/cs?searchtype=author&amp;query=Jiang%2C+J+R">Jie-Hong R. Jiang</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1911.04112v3-abstract-short" style="display: inline;"> Stochastic Boolean Satisfiability (SSAT) is a logical formalism to model decision problems with uncertainty, such as Partially Observable Markov Decision Process (POMDP) for verification of probabilistic systems. SSAT, however, is limited by its descriptive power within the PSPACE complexity class. More complex problems, such as the NEXPTIME-complete Decentralized POMDP (Dec-POMDP), cannot be succ&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1911.04112v3-abstract-full').style.display = 'inline'; document.getElementById('1911.04112v3-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1911.04112v3-abstract-full" style="display: none;"> Stochastic Boolean Satisfiability (SSAT) is a logical formalism to model decision problems with uncertainty, such as Partially Observable Markov Decision Process (POMDP) for verification of probabilistic systems. SSAT, however, is limited by its descriptive power within the PSPACE complexity class. More complex problems, such as the NEXPTIME-complete Decentralized POMDP (Dec-POMDP), cannot be succinctly encoded with SSAT. To provide a logical formalism of such problems, we extend the Dependency Quantified Boolean Formula (DQBF), a representative problem in the NEXPTIME-complete class, to its stochastic variant, named Dependency SSAT (DSSAT), and show that DSSAT is also NEXPTIME-complete. We demonstrate the potential applications of DSSAT to circuit synthesis of probabilistic and approximate design. Furthermore, to study the descriptive power of DSSAT, we establish a polynomial-time reduction from Dec-POMDP to DSSAT. With the theoretical foundations paved in this work, we hope to encourage the development of DSSAT solvers for potential broad applications. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1911.04112v3-abstract-full').style.display = 'none'; document.getElementById('1911.04112v3-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 25 February, 2021; <span class="has-text-black-bis has-text-weight-semibold">v1</span> submitted 11 November, 2019; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> November 2019. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">10 pages, 5 figures. A condensed version of this work is published in the AAAI Conference on Artificial Intelligence (AAAI) 2021</span> </p> </li> <li class="arxiv-result"> <div class="is-marginless"> <p class="list-title is-inline-block"><a href="https://arxiv.org/abs/1308.4767">arXiv:1308.4767</a> <span>&nbsp;[<a href="https://arxiv.org/pdf/1308.4767">pdf</a>, <a href="https://arxiv.org/format/1308.4767">other</a>]&nbsp;</span> </p> <div class="tags is-inline-block"> <span class="tag is-small is-link tooltip is-tooltip-top" data-tooltip="Logic in Computer Science">cs.LO</span> </div> </div> <p class="title is-5 mathjax"> Synthesizing Multiple Boolean Functions using Interpolation on a Single Proof </p> <p class="authors"> <span class="search-hit">Authors:</span> <a href="/search/cs?searchtype=author&amp;query=Hofferek%2C+G">Georg Hofferek</a>, <a href="/search/cs?searchtype=author&amp;query=Gupta%2C+A">Ashutosh Gupta</a>, <a href="/search/cs?searchtype=author&amp;query=K%C3%B6nighofer%2C+B">Bettina K枚nighofer</a>, <a href="/search/cs?searchtype=author&amp;query=Jiang%2C+J+R">Jie-Hong Roland Jiang</a>, <a href="/search/cs?searchtype=author&amp;query=Bloem%2C+R">Roderick Bloem</a> </p> <p class="abstract mathjax"> <span class="has-text-black-bis has-text-weight-semibold">Abstract</span>: <span class="abstract-short has-text-grey-dark mathjax" id="1308.4767v1-abstract-short" style="display: inline;"> It is often difficult to correctly implement a Boolean controller for a complex system, especially when concurrency is involved. Yet, it may be easy to formally specify a controller. For instance, for a pipelined processor it suffices to state that the visible behavior of the pipelined system should be identical to a non-pipelined reference system (Burch-Dill paradigm). We present a novel procedur&hellip; <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1308.4767v1-abstract-full').style.display = 'inline'; document.getElementById('1308.4767v1-abstract-short').style.display = 'none';">&#9661; More</a> </span> <span class="abstract-full has-text-grey-dark mathjax" id="1308.4767v1-abstract-full" style="display: none;"> It is often difficult to correctly implement a Boolean controller for a complex system, especially when concurrency is involved. Yet, it may be easy to formally specify a controller. For instance, for a pipelined processor it suffices to state that the visible behavior of the pipelined system should be identical to a non-pipelined reference system (Burch-Dill paradigm). We present a novel procedure to efficiently synthesize multiple Boolean control signals from a specification given as a quantified first-order formula (with a specific quantifier structure). Our approach uses uninterpreted functions to abstract details of the design. We construct an unsatisfiable SMT formula from the given specification. Then, from just one proof of unsatisfiability, we use a variant of Craig interpolation to compute multiple coordinated interpolants that implement the Boolean control signals. Our method avoids iterative learning and back-substitution of the control functions. We applied our approach to synthesize a controller for a simple two-stage pipelined processor, and present first experimental results. <a class="is-size-7" style="white-space: nowrap;" onclick="document.getElementById('1308.4767v1-abstract-full').style.display = 'none'; document.getElementById('1308.4767v1-abstract-short').style.display = 'inline';">&#9651; Less</a> </span> </p> <p class="is-size-7"><span class="has-text-black-bis has-text-weight-semibold">Submitted</span> 22 August, 2013; <span class="has-text-black-bis has-text-weight-semibold">originally announced</span> August 2013. </p> <p class="comments is-size-7"> <span class="has-text-black-bis has-text-weight-semibold">Comments:</span> <span class="has-text-grey-dark mathjax">This paper originally appeared in FMCAD 2013, http://www.cs.utexas.edu/users/hunt/FMCAD/FMCAD13/index.shtml. This version includes an appendix that is missing in the conference version</span> </p> </li> </ol> <div class="is-hidden-tablet"> <!-- feedback for mobile only --> <span class="help" style="display: inline-block;"><a href="https://github.com/arXiv/arxiv-search/releases">Search v0.5.6 released 2020-02-24</a>&nbsp;&nbsp;</span> </div> </div> </main> <footer> <div class="columns is-desktop" role="navigation" aria-label="Secondary"> <!-- MetaColumn 1 --> <div class="column"> <div class="columns"> <div class="column"> <ul class="nav-spaced"> <li><a href="https://info.arxiv.org/about">About</a></li> <li><a href="https://info.arxiv.org/help">Help</a></li> </ul> </div> <div class="column"> <ul class="nav-spaced"> <li> <svg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 512 512" class="icon filter-black" role="presentation"><title>contact arXiv</title><desc>Click here to contact arXiv</desc><path d="M502.3 190.8c3.9-3.1 9.7-.2 9.7 4.7V400c0 26.5-21.5 48-48 48H48c-26.5 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