Summary
Goldman Sachs research indicates that the quantum resources needed for key finance workloads are far beyond reach. The logical clock speeds required are three orders of magnitude above any projected hardware. For derivative pricing and portfolio optimization, available quantum algorithms offer only quadratic speedups, which are structurally insufficient once constant factors and error correction overheads are considered.
Net result: no credible near-term quantum advantage for pricing or risk. Financial institutions should not expect quantum computing to move P&L or VaR soon. Redirect near-term investment to classical improvements, such as GPU-accelerated Monte Carlo, stronger variance reduction, and modern large-scale optimization. Track error correction progress, qubit quality, and algorithmic advances with clear decision gates.
For CISOs and the quantum security community, the urgency lies elsewhere. Even if quantum value for finance is delayed, the cryptographic threat is real due to harvest-now-decrypt-later risk. Prioritize PQC migration aligned to NIST standards, build crypto inventories, enable crypto agility, modernize key management and HSMs, and run staged pilots in high-impact workflows. Establish governance, test performance and interoperability, and make quantum security a board-visible program.
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See the original article at: https://postquantum.com/quantum-utility-map/quantum-computing-finance-wall-street/
