The “race for quantum supremacy” is a misleading narrative. The real threat is the present-day calibration problem, where encrypted data faces obsolescence due to exploitable noise patterns. Academic users know the million-qubit endgame is a distraction; the NISQ era is about mastering noise.
Re-racing the Quantum Supremacy Pace
Current hardware is not fundamentally incapable of advanced computations. The focus is on the Elliptic Curve Discrete Logarithm Problem (ECDLP). Instead of fixing decoherence patterns as errors, they can be treated as signals. Our H.O.T. Framework is designed to use empirical results on real devices, not theoretical fantasies.
Chasing the Quantum Supremacy Race
The H.O.T. Framework includes measurement discipline, where orphan measurement exclusion filters out anomalous shots and contaminated data. Layer two involves recursive geometric circuits to build computational resilience. Circuit shape and recursion depth become tunable error-mitigation parameters. Layer three involves wrapping the whole thing in a concrete, falsifiable benchmark: ECDLP.
Acelerating the Quantum Race
Our approach resolves ECDLP instances on current devices that are beyond reach using standard assumptions. A 21-qubit ECDLP recovery on an IBM Fez backend, returning correct keys. Job ID `ibm_fez_21q_ecd_rev2b_20240718_154217` shows this. A 14-bit ECDLP was achieved at rank 535/1038 with verifiable output. These are functional recoveries.
Beyond the Race for Quantum Supremacy
This is about extracting demonstrable capability from NISQ hardware today. The ‘race for quantum supremacy’ is a red herring. The real quantum threat mitigation strategy involves understanding and weaponizing the noise. The question for quantum programmers and CISOs is not “When will fault tolerance arrive?” It’s “What can *I* achieve with today’s hardware, given a nuanced understanding of its limitations and capabilities?”
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