Quantum computing papers, judged / Independent · source-traced

Most quantum announcements are noise. This is the signal.

One scientific paper at a time: what it shows, whom it concerns, and what is still missing before anyone can use it — in plain language, with the quotation it rests on. No physics degree required.

  • EvidenceA verbatim quotation from the paper in every brief
  • VerdictReal today · Milestone · Plausible by · Beyond current roadmaps
  • Length600 to 800 words. No filler.
  • PrerequisitesNone. Terms explain themselves where they appear.

Latest briefs

The newest papers judged, across all fields.

Chemistry, drugs and materials

Simulating molecules and materials: what a quantum computer would need, and how far that is.

  • A drug enzyme needs 4.6 million qubits

    Modelling one drug-metabolism enzyme takes 4.6 million qubits and 73 hours, on paper. No announced roadmap reaches that; use it as a planning yardstick.

    3–5 minutes
  • No quantum roadmap reaches battery design

    Simulating one battery electrolyte molecule needs 16,382 error-protected units; no announced machine reaches that. Battery makers stay on classical tools.

    3–5 minutes
  • One molecule needs four million qubits

    A paper with Google Quantum AI sizes one FeMoCo simulation at four million qubits and 3 days. No announced roadmap reaches that; nothing to buy today.

    3–5 minutes

Optimization

Finance, logistics, scheduling: where a quantum method is claimed to help, and what the papers actually show.

  • Goldman Sachs cuts quantum pricing cost 16x

    Goldman Sachs authors cut the work 16-fold, yet pricing still needs 4.7 k logical qubits at 45 MHz. Banks can’t use it yet; no such machine…

    3–5 minutes

Quantum machine learning

Machine learning on quantum computers, and machine learning used to build them.

Error correction and logical qubits

The machines themselves: error correction, logical qubits, and the results that later estimates are built on.

  • Harvard and QuEra run 48 protected qubits

    A 280-atom machine scored up to an order of magnitude above unprotected qubits on test circuits. Commercial jobs need far more qubits.

    3–5 minutes
  • Google adds qubits and cuts errors by 4%

    Google’s 49-qubit code erred 2.914% per cycle versus 3.028% for 17-qubit codes. Scaling helps, but hardware must still improve by at least 20%.

    3–5 minutes
  • QuEra’s atom bet reaches 99.5% accuracy

    Harvard and QuEra hit 99.5% accuracy on up to 60 atoms at once, past the 99% error correction needs. A planning signal, not a usable machine…

    3–5 minutes

Post-quantum cryptography

Attacks on today’s encryption and the methods meant to replace it.

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