Parity vs. AC0 with Simple Quantum Preprocessing
Squid: Schools for Quantum Information Development via YouTube
Get 20% off all career paths from fullstack to AI
Google AI Professional Certificate - Learn AI Skills That Get You Hired
Overview
Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Watch a technical conference talk from TQC 2024 exploring the limitations of quantum preprocessing in computing parity functions. Delve into research investigating whether AC0â—¦QNC0 (a hybrid circuit model combining constant-depth quantum computation with classical AC0 circuits) can effectively compute or correlate with parity functions. Learn about key findings that demonstrate negligible correlation between ancilla-free QNC0 circuits and parity, even with sophisticated post-processing. Examine the relationship between quantum preprocessing and Boolean function decision tree complexity, revealing that nonlocal channels offer no advantages over randomness in this context. Understand how these results suggest that while QNC0 shows promise for search and sampling tasks, its power remains inaccessible to simple classical computation when solving decision problems. The presentation was delivered at the 19th Conference on the Theory of Quantum Computation, Communication and Cryptography, hosted at the Okinawa Institute for Science and Technology.
Syllabus
Parity vs. AC0 with simple quantum preprocessing | Joseph Slote | TQC 2024
Taught by
Squid: Schools for Quantum Information Development