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TIWhat if we stopped trying to program quantum physics and just built the physics directly onto a chip?
That’s the logic behind “Quantum Twins.”
Classical supercomputers are surprisingly bad at chemistry. They have to “guess” how atoms interact because binary code can’t handle the complex math of electron orbitals. This “Simulation Gap” is why developing next-gen batteries or new drugs feels like hitting a wall.
Instead of writing code to mimic a molecule, researchers at Silicon Quantum Computing are using atomic manufacturing to “print” a molecule’s structure onto a silicon chip.
This bypasses the need for millions of error-corrected qubits, letting us solve for new superconductors and low-power electronics today.
Resources to learn more:
Nature: “Quantum computing advance: Atom-placed silicon lattice reveals metal-insulator transition” (Feb 2026).
IEEE Spectrum: Search “The Quantum Twin” for the deep dive on Michelle Simmons’ work.
SQC: Visit sqc.com.au to see the “14|15” platform in action.
#QuantumComputing #DeepTech #SiliconQuantum
@tiffintech
