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M16.00001: Algorithm-specific Performance Analysis of Transmon Qubit Devices
Michael O'Keeffe, Morten Kjaergaard, Mollie Schwartz, Gabriel Samach, Amy Greene, Chris McNally, Danna Rosenberg, William Oliver, Andrew James Kerman, Kevin Obenland
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M16.00002: Oscillator noise spectroscopy via displaced Schrödinger-cat states
Alistair Milne, Claire Edmunds, Cornelius Hempel, Harrison Ball, Michael Hush, André Carvalho, Michael Biercuk
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M16.00003: Detector Tomography on IBM Quantum Computers and Mitigation of Imperfect Measurement
Yanzhu Chen, Maziar Farahzad, Shinjae Yoo, Tzu-Chieh Wei
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M16.00004: Characterizing mid-circuit measurements with a new form of gate set tomography part 1: Theory
Kenneth Rudinger, Timothy Proctor, Erik Nielsen, Guilhem Ribeill, Matthew Ware, Luke Govia, Thomas A Ohki, Kevin Young, Robin Blume-Kohout
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M16.00005: Characterizing mid-circuit measurements with a new form of gate set tomography part 2: Experiment
Guilhem Ribeill, Matthew Ware, Luke Govia, Kenneth Rudinger, Timothy Proctor, Thomas A Ohki
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M16.00006: A proposed gold standard family of protocols for benchmarking and diagnosing elementary quantum gate operations
Kristine Boone, Arnaud Carignan-Dugas, Joel Wallman, Ian Hincks, Dar Dahlen, Joseph V Emerson
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M16.00007: Efficient learning of quantum noise
Invited Speaker:
Robin Harper
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M16.00008: Long-Sequence Quantum Process Tomography
Takanori Sugiyama
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M16.00009: Spectral Quantum Tomography
Jonas Helsen, Francesco Battistel, Barbara Maria Terhal
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M16.00010: Independent State and Measurement Characterization on Quantum Computers
Junan Lin, Joel Wallman, Raymond Laflamme
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M16.00011: Extracting Coherence Information From Random Circuits Using “Speckle Purity Benchmarking”
Julian Kelly, Sergio Boixo, Zijun Chen, John M Martinis, Hartmut Neven
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M16.00012: Quantum noise spectroscopy for multiaxis noise models
Leigh Norris, Gerardo A Paz Silva, Felix Beaudoin, Lorenza Viola
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M16.00013: Cayley path and quantum computational supremacy: A proof of average-case #P-hardness of Random Circuit Sampling with quantified robustness
Ramis Movassagh
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