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DTSTAMP:20240626T180002Z
LOCATION:3002\, 3rd Floor
DTSTART;TZID=America/Los_Angeles:20240626T133000
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UID:dac_DAC 2024_sess113@linklings.com
SUMMARY:Fix Quantum Errors to Win BQSKits
DESCRIPTION:Research Manuscript\n\nPractical quantum computers suffer from
  varieties of noise regardless of qubit technologies. This session will co
 ver approaches to resolve this issue namely, quantum error mitigation, qua
 ntum error correction, robust state preparation for multi-dimensional qudi
 t states and accelerated simulation of stabilizer circuit.\n\nSpREM: Explo
 iting Hamming Sparsity for Fast Quantum Readout Error Mitigation\n\nThe cu
 rrent Noisy Intermediate-Scale Quantum (NISQ) era suffers from high quantu
 m readout error that severely reduces the measurement fidelity. Matrix-bas
 ed error mitigation has been demonstrated as a promising software-level te
 chnique, which performs matrix-vector multiplication to calibrate the pr..
 .\n\n\nHanyu Zhang, Liqiang Lu, and Siwei Tan (Zhejiang University); Size 
 Zheng (Peking University); and Jia Yu and Jianwei Yin (Zhejiang University
 )\n---------------------\nSymPhase: Phase Symbolization for Fast Simulatio
 n of Stabilizer Circuits\n\nThis paper proposes an efficient stabilizer ci
 rcuit simulation algorithm that only traverses the circuit forward once.\n
 We introduce phase symbolization into stabilizer generators, which allows 
 possible Pauli faults in the circuit to be accumulated explicitly as symbo
 lic expressions in the phases of ...\n\n\nWang Fang and Mingsheng Ying (In
 stitute of Software, Chinese Academy of Sciences)\n---------------------\n
 HiLight: A Comprehensive Framework For High Performance And Light-Weight S
 calability In Surface Code Communication\n\nIn this paper, we introduce Hi
 Light, an optimization framework designed for enhancing SC communication. 
 HiLight integrates qubit-mapping strategies with program- and hardware-lev
 el optimizations, providing high-performance and lightweight scalable solu
 tions. Featuring SWAP-less initial placement, Hi...\n\n\nSunghye Park, Doh
 un Kim, and Seokhyeong Kang (Pohang University of Science and Technology (
 POSTECH))\n---------------------\nFCM: Wire Cutting For Fusion Reduction i
 n Measurement-based Quantum Computing\n\nMeasurement-based quantum computi
 ng (MBQC) is a promising quantum computing paradigm that carries out compu
 tation through one-way measurements on entangled photon qubits. Practical 
 photonic hardware first generates a 2D mesh of resource states with each b
 eing a small number of entangled photon qubit...\n\n\nZewei Mo, Yingheng L
 i, Aditya Pawar, Xulong Tang, Jun Yang, and Youtao Zhang (University of Pi
 ttsburgh)\n---------------------\nEffective Quantum Resource Optimization 
 via Circuit Resizing in BQSKit\n\nIn the noisy intermediate-scale quantum 
 era, mid-circuit measurement and reset operations facilitate novel circuit
  optimization strategies by reducing a circuit's qubit count in a method c
 alled resizing. This paper introduces two such algorithms. The first one l
 everages gate-dependency rules to redu...\n\n\nSiyuan Niu (Lawrence Berkel
 ey National Lab); Akel Hashim (University of California, Berkeley); and Co
 stin Iancu, Wibe de Jong, and Ed Younis (Lawrence Berkeley National Lab)\n
 ---------------------\nMixed-Dimensional Qudit State Preparation Using Edg
 e-Weighted Decision Diagrams\n\nQuantum computers have the potential to so
 lve important problems which are fundamentally intractable on a classical 
 computer.\nThe underlying physics of quantum computing platforms supports 
 using multi-valued logic, which promises a boost in performance over the p
 revailing two-level logic.\nOne key el...\n\n\nKevin Mato (Technische Univ
 ersität München), Stefan Hillmich (Software Center Hagenberg (SCCH) GmbH),
  and Robert Wille (Technical University Munich)\n\nTopic: Design\n\nKeywor
 d: Quantum Computing\n\nSession Chairs: Fan Chen (Indiana University, Bloo
 mington) and Samah Saeed (City University of New York, City College)
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