Scott Aaronson

Scott Aaronson on Computational Complexity Theory and Quantum Computers

Scott Aaronson, Craig Cannon

Scott Aronson clarifies that quantum computing relies on choreographing destructive interference patterns to amplify correct solutions rather than simply testing all possibilities simultaneously, a capability that has shifted the field from theoretical impossibility to a rigorous engineering challenge requiring fault tolerance. He identifies the generation of untrusted random bits as a near-term application for 50–70 qubit devices and introduces shadow tomography, a technique merging differential privacy with quantum mechanics to estimate state properties efficiently. Furthermore, Aronson contextualizes these technical advances within broader computational limits regarding the P vs. NP problem, the holographic nature of spacetime, and the urgent need to align artificial intelligence with human values before addressing existential risks.