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DTSTART:19700308T020000
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DTSTAMP:20250822T115807Z
LOCATION:Room 5.2D02
DTSTART;TZID=Europe/Stockholm:20250616T143000
DTEND;TZID=Europe/Stockholm:20250616T150000
UID:submissions.pasc-conference.org_PASC25_sess132_msa183@linklings.com
SUMMARY:Probing and Benchmarking Quantum Devices with Randomized Measureme
 nts
DESCRIPTION:Andreas Elben (Paul Scherrer Institute)\n\nQuantum computing h
 as rapidly evolved in recent years, with platforms ranging from supercondu
 cting qubits and trapped ions to photonic and neutral atom systems. These 
 diverse approaches offer unique strengths and challenges, driving the need
  for reliable methods to assess and optimize device performance. However, 
 characterizing and benchmarking these quantum processors is challenging, p
 articularly because the quantum state space grows exponentially with syste
 m size, making standard methods impractical. In this talk, I will introduc
 e randomized measurements, a feasible solution that leverages random measu
 rement bases to extract essential classical information from complex quant
 um states. This efficient conversion of quantum data enables deeper insigh
 ts into quantum dynamics and to improve device calibration. Moreover, it i
 ntegrates seamlessly with classical HPC and machine learning workflows, ha
 rnessing the resulting classical data. In this context, I will present Ran
 domMeas.jl, an open-source Julia package that simplifies and standardizes 
 the application of these measurement techniques. By equipping researchers 
 with accessible tools for advanced quantum state characterization, this ai
 ms to foster broader adoption and innovation across the quantum computing 
 community.\n\nDomain: Engineering\n\nSession Chairs: Mauro Bianco (ETH Zur
 ich / CSCS, ETH Zurich) and Nur Aiman Fadel (ETH Zurich / CSCS)\n\n
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