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SUMMARY:Recent Advancements in Quantum Error Mitigation and Quantum Simulation
DESCRIPTION:Abstract\nQuantum simulation is a key near-term application of quantum computing. I will present several recent advancements in quantum simulation techniques and error mitigation. I will discuss error mitigation strategies for estimating expectation values of local observables\, where we introduce a new Probabilistic Error Cancellation (PEC) estimator leveraging light-cone structures to drastically reduce sampling overhead. I will also describe our ‘shaded lightcone’ approach\, which combines classical bounds on error channel influence on the expectation values to optimize the bias-variance trade-off\, achieving up to a two-order-of-magnitude runtime reduction for circuits like 127-qubit Trotter circuits. Finally\, I will introduce an algorithm for simulating geometrically local Hamiltonians under small perturbations using the Magnus expansion in an interaction frame\, avoiding the need for ancillary qubits. This algorithm’s efficient computation is guaranteed by the Lieb-Robinson bound\, making it appealing for near-term and early-fault-tolerant quantum devices. \nSpeaker Bio\n\n\n\n\n\n\n\n\nMinh Tran \nMinh Tran is a quantum researcher who graduated from the University of Maryland in 2021. After completing his degree\, Minh embarked on a journey as a postdoctoral researcher at MIT before finding a home at IBM. Minh’s work explores the intricate connections between quantum algorithms and quantum many-body physics.
URL:https://quantum.ncsu.edu/event/triangle-quantum-computing-seminar-series-talk-7/
LOCATION:Virtual
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SUMMARY:How to Make an Ion Trap
DESCRIPTION:Abstract\nAmong the principal challenge facing scalability in ion trap quantum computers is the full integration of optics\, digital electronics\, and through-wafer vias into the trap chip. I will discuss Oxford Ionics’ strategy for developing ion trap quantum computers with 100s-1000s of ions\, then describe some of the methodologies for designing large-scale ion trap electrode structures and waveforms. \nSpeaker Bio\n\n\n\n\n\n\n\n\nCurtis Volin \nDr. Curtis Volin is Principal Ion Trap Designer with Oxford Ionics. Prior to joining Oxford Ionics in 2024\, he co-founded the Quantum Systems Group at the Georgia Tech Research Institute (GTRI) in 2005 and was Chief Scientist for Ion Trap Design at Quantinuum. He holds a B.S. in Applied and Engineering Physics from Cornell and a Ph.D. in Optical Sciences from The University of Arizona. He specializes in design and modeling of ion traps and ion trapping waveforms as well as planning and implementation of optics in experimental quantum systems.
URL:https://quantum.ncsu.edu/event/triangle-quantum-computing-seminar-series-talk-9/
LOCATION:Virtual
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DTSTART;TZID=America/New_York:20241122T130000
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CREATED:20241108T050315Z
LAST-MODIFIED:20241108T050315Z
UID:10000315-1732280400-1732284000@quantum.ncsu.edu
SUMMARY:Quantum process learning and variational quantum computing
DESCRIPTION:Abstract\nParameterized quantum circuits serve as ansätze for solving variational problems and provide a flexible paradigm for programming near-term quantum computers. Here we discuss three fundamental criteria for this paradigm to be effective: expressibility\, trainability and generalizability. We will introduce these concepts and present recent analytic progress quantifying to what extent these criteria can be achieved. While more generally applicable\, the discussion will be framed around the example of trying to variationally learn an unknown quantum process. We will end with some more open-ended dreaming about the applications of these ideas for experimental quantum physics and quantum compilation. \nSpeaker Bio\n\n\n\n\n\n\n\n\nZoë Holmes  \nZoë Holmes received in 2015 her MPhil degree in Physics and Philosophy from the University of Oxford. In 2016 she obtained her MRes (Master of Research) from the Imperial College London\, where in 2019 she got her PhD in quantum thermodynamics. In 2020 she started as a Postdoctoral Researcher at Los Alamos National Laboratory (USA) working on quantum algorithms and quantum machine learning methods for Noisy Intermediate-Scale Quantum (NISQ) computers. In 2021 she became the Mark Kac Fellow at Los Alamos National Lab. Since August 2022 she is Tenure Track Assistant Professor of Physics at EPFL.
URL:https://quantum.ncsu.edu/event/triangle-quantum-computing-seminar-series-talk-8/
LOCATION:Virtual
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