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X-WR-CALDESC:Events for IBM Quantum Innovation Center at NC State
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DTSTART;TZID=America/New_York:20210409T120000
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SUMMARY:Quantum Lunch Series Event - Speaker Yipeng Huang
DESCRIPTION:Talk Title: \nLogical Abstractions for Noisy Variational Quantum Algorithm Simulation. \nSpeaker: Professor Yipeng Huang\, Rutgers University \nAbstract: \nExisting quantum circuit simulators do not address the traits of variational algorithms\, namely: 1) their ability to work with noisy qubits and operations\, 2) their repeated execution of the same circuits but with different parameters\, and 3) the fact that they sample from circuit final wavefunctions to drive optimization routines. Our key insight is that knowledge compilation—a technique for efficient repeated inference originating in AI research—can be generalized to work on complex-valued quantum amplitudes\, such that the technique serves as the basis for a quantum circuit simulation toolchain geared for variational quantum algorithms.\nIn knowledge compilation\, AI models such as Bayesian networks encode probabilistic knowledge about the world in a factorized format. The Bayesian networks compile down to minimized logical formulas that enable repeated inference and sampling queries with different parameters and new pieces of evidence. The features of the knowledge compilation approach—namely\, 1) the ability to represent probabilistic information\, 2) the ability to compile probabilistic model structural information into minimized formats\, and 3) the ability to efficiently sample from the same model but for varying parameters and evidence—match the requirements for variational quantum algorithm simulation.\nOur approach offers performance advantages relative to simulation approaches based on state vectors \, density matrices \, and tensor networks. The advantages are due to the more compact representation\, the circuit minimization and memorization capabilities of our approach\, and due to the storage costs for conventional simulators based on matrix representations. The improved simulation performance facilitates studying variational algorithms in the NISQ era of quantum computing.\n\nThis is a Virtual Event. \nFor more information email: \nquantumcomputing@ncsu.edu
URL:https://quantum.ncsu.edu/ibm-quantum/event/quantum-lunch-series-event-speaker-yipeng-huang/
ORGANIZER;CN="IBM Quantum Hub at NC State":MAILTO:quantumcomputing@ncsu.edu
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DTSTART;TZID=America/New_York:20210423T120000
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UID:1144-1619179200-1619182800@quantum.ncsu.edu
SUMMARY:Quantum Lunch Series Event - Speaker Travis Cuvelier
DESCRIPTION:Talk Title: Quantum Coding for Classical Communication \nSpeaker: Travis C. Cuvelier\, University Texas at Austin \nAbstract: Notable features of quantum error correction include the decomposition of continuous communication impairments into discrete channels and the ability of quantum error correcting codes (and their recovery operations) to protect against wide varieties of noise given such a discrete description.  Motivated by these insights\, we study how techniques from quantum error correction may be applied to classical communication. We propose a general framework for analyzing a ubiquitous classical channel as a quantum coding problem. An extension of the quantum error correction conditions to this classical setting leads to some insights into general quantum coding. We also apply quantum stabilizer codes to the classical problem of noncoherent multiantenna communication: we use the stabilizer formalism to develop classical space-time block codes with competitive performance. \nThis is a Virtual Event. \nFor more information email: \nquantumcomputing@ncsu.edu
URL:https://quantum.ncsu.edu/ibm-quantum/event/quantum-lunch-series-event-speaker-travis-cuvelier/
LOCATION:Virtual
ORGANIZER;CN="IBM Quantum Hub at NC State":MAILTO:quantumcomputing@ncsu.edu
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