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Sunday think piece: is quantum computing's investment boom a bubble or a genuine commercial tipping point? We put IQM's Nasdaq listing and prospectus warning, McKinsey's $12.6B investment number, the White House's $2B equity-stake incentive package, Oratomic's $300M raise on a single theoretical paper, and IonQ's stock slide on the same table for the first time.
Quickly Quantum is an AI-voiced podcast, built and run by a real person. Nothing in this episode is financial advice.
This week, quantum computing fully collided with Wall Street and Washington: IQM's Nasdaq debut, a $2 billion CHIPS Act incentive package for nine companies, and Oratomic's eyebrow-raising $300 million bet that fault tolerance needs only 10,000-20,000 qubits, not millions. Plus: Google's self-correcting Willow chip, an Oak Ridge/IBM fusion-materials calculation that moved IBM's stock, and hardware stories that slipped through the cracks — electron-on-helium qubits, a new silicon readout sensor, and the accelerating post-quantum cryptography migration.
Quickly Quantum is an AI-voiced podcast, built and run by a real person. Nothing in this episode is financial advice.
Oratomic just raised $300 million on a bet that fault-tolerant quantum computing needs roughly 10,000 qubits instead of millions — plus Google teaches a quantum computer to fix its own mistakes mid-run, IBM models fusion fuel salt on a quantum chip, and Quantinuum pushes trapped-ion simulation into real materials science.
Quickly Quantum is an AI-voiced podcast, built and run by a real person. Nothing in this episode is financial advice.
Google Quantum AI's Nature paper on a self-calibrating Willow chip headlines today's episode, alongside foundry-scaled silicon qubits, mechanical quantum memory, a small D-Wave grant with big strategic implications, a theory breakthrough on fault-tolerance overhead, an ion-trap deal in Korea, and a US-EU policy roundup.
Quickly Quantum is an AI-voiced podcast, built and run by a real person. Nothing in this episode is financial advice.
A $300 million Series A bets that fault-tolerant quantum computing needs far fewer qubits than assumed — plus IBM's fusion-materials stock pop, IonQ's rough stretch against a new Nasdaq rival, and a full slate of hardware, funding, and standards news from across the quantum world.
Quickly Quantum is an AI-voiced podcast, built and run by a real person. Nothing in this episode is financial advice.
The White House holds its first Summit on Quantum Innovation today, and IBM lands a report the same morning warning governments not to think too narrowly about quantum. Plus: fusion reactor chemistry on a quantum computer, 2,000 individually controlled Rydberg atoms, an error-correction fix on IBM's Heron chip, an IQM acquisition with a twist, and a South Korea funding number that got exaggerated online.
Quickly Quantum is an AI-voiced podcast, built and run by a real person. Nothing in this episode is financial advice.
Today's episode covers a wave of quantum funding news — Qolab's $54.2M Series B, McKinsey's data showing private capital swamping government funding, and Keyfactor's billion-dollar post-quantum security raise — before diving into the main story: IBM, Oak Ridge National Laboratory, and Cleveland Clinic using quantum-centric supercomputing to model fusion fuel chemistry in FLiBe, a candidate breeding-blanket material for tritium production.
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