The agenda for APQC 2023 is posted below. There’s also a PDF version for download:

Sunday, October 1

Registration and informal welcome reception from 6pm-8pm.

Monday, October 2

Focus on calibration and control

7:00 – 8:45am	Breakfast and Registration
8:45 – 9:00am	Welcome and Workshop Overview
9:00 – 10:00am	Akel Hashim (invited), “Predictable and unpredictable in quantum computing: finding structure from randomness”
10:00 – 10:15am	Coffee break
10:15 – 10:45am	Nathan Miller, “Feedback-based calibration for rapid tuning and drift control of quantum processors”
10:45 – 11:15am	Andreas Bengtsson, “Measuring and optimizing readout errors in large superconducting quantum processors”
11:15 – 11:45am	John Paul Marceaux, “Dual control techniques for real-time calibration of quantum processors”
11:45am – 1:00pm	Lunch (perspective talk by Claire Cramer, DOE Office of Science)
1:00 – 2:00pm	Michael Gullans (invited), *“Benchmarking noisy quantum processors via random sampling experiments”*
2:00 – 2:30pm	Coffee break
2:30 – 3:00pm	Evangelos Piliouras, “Space Curve Quantum Control: A robust gate design framework”
3:00 – 3:30pm	Kenneth Rudinger, “Calibrating Two-Qubit Gates with Robust Phase Estimation”
3:30 – 4:00pm	Jiwon Yun, “High-fidelity quantum control of an electron-nuclear spin register”
4:00 – 4:15pm	Coffee break
4:15 – 5:15pm	*Anurag Saha Roy, “Software tools for reinforcement learning based automated, adaptive and scalable characterisation of QPUs”*
5:15 – 6:00pm	Poster setup
6:00 – 7:30pm	Dinner, including “Dinner with an expert” groups
7:30 – 9pm	Poster session

Collaboration day / Focus on software for quantum performance assessment

7:00 – 8:30am	Grab & Go Breakfast (burritos & coffee)
8:30 – 2:45pm	Hiking/Collaboration Free Day
2:45 – 3:15pm	Coffee break
3:15 – 3:45pm	Yuval Baum (Q-CTRL), “Using machine learning for predictive QCVV”
3:45 – 4:15pm	Stefan Seritan (Sandia), “pyGSTi: a software package for quantum characterization and benchmarking” (virtual)
4:15 – 4:45pm	Coffee break
4:45 – 5:15pm	Chris Wood (IBM), “Benchmarking quantum computers with Qiskit runtime primitives”
5:15 – 5:45pm	Aarthi Sundaram (Microsoft), “Assessing requirements to scale to practical quantum advantage”
5:45 – 6:15pm	Tom Lubinski (Quantum Circuits), “Enabling application performance exploration using the QED-C quantum computing benchmark framework” (virtual)
6:30 – 8:00pm	Dinner, including “Dinner with an expert” groups

Focus on gate characterization and quantum error correction

7:00 – 8:30am	Breakfast
8:30 – 9:30am	Riddhi Gupta (invited), “Encoding a magic state with beyond break-even fidelity”
9:30 – 10:00am	Maximilian Rimbach-Russ, “Towards high-fidelity semiconducting spin qubits”
10:00 – 10:45am	Coffee break
10:45 – 11:15am	Anton Frisk Kockum, “Quantum state and process tomography with machine learning and gradient descent”
11:15 – 11:45am	Gabriel Samach, “Lindblad tomography of a superconducting quantum processor”
11:45am – 12:15pm	Corey Ostrove, “Characterizing quasistatic noise in quantum processors”
12:15 – 1:30pm	Lunch (perspective talk by Joseph Emerson & Adriaan Rol)
1:30 – 2:30pm	Charlie Baldwin (invited)
2:30 – 3:00pm	Coffee break
3:00 – 3:30pm	Cassandra Granade, “Enabling single-shot characterization protocols with QIR” (virtual)
3:30 – 4:00pm	Alex Kwiatkowski, “Optimized experiment design and analysis for fully randomized benchmarking”
4:00 – 4:30pm	— Group Photo —
4:30 – 5:45pm	Panel discussion, “Assessing quantum performance en route to FTQC”
6:00 – 8:00pm	Banquet Dinner

Focus on benchmarking and scalable characterization

7:00 – 8:30am	Breakfast
8:30 – 9:30am	Dripto Debroy (invited), “Suppressing quantum errors by scaling a surface code logical qubit”
9:30 – 10:00am	Andrew Guo, “Partial characterization of quantum gates using character phase estimation”
10:00 – 10:30am	Coffee break
10:30 – 11:00am	Timothy Proctor, “Learning the capabilities of quantum computers using custom neural networks”
11:00 – 11:30am	Senrui Chen, “The learnability of Pauli noise”
11:30am – 12:00pm	Joseph Emerson, “From cycle error reconstruction to circuit benchmarking”
12:00 – 1:15pm	Lunch
1:15 – 2:15pm	Jordan Hines (invited), “Randomized benchmarking into the quantum advantage regime”
2:15 – 2:45pm	Coffee break
2:45 – 3:15pm	Daniel Hothem, “Scalable randomized benchmarking with mid-circuit measurements”
3:15 – 3:45pm	Seth Merkel, “Intermediate scale benchmarking at IBM Quantum”
3:45 – 4:15pm	John Gamble, “Benchmarking a trapped-ion quantum computer with 29 algorithmic qubits”
4:15 – 4:30pm	Parting words
4:30pm	Adjourn