Quantinuum

We’re advancing quantum computing to solve the world’s most pressing challenges

[Quantinuum @QuantinuumQC]

Read the scientific paper in @Nature here: https://t.co/dziLkEJEO8

[Quantinuum @QuantinuumQC]

Last year, with @Microsoft, we published a breakthrough in logical computing, demonstrating logical qubits that outperformed physical qubits by a factor of 800. This work is now published in @Nature, one of the most highly regarded scientific journals. https://t.co/o4Z33J7fK3

[Quantinuum @QuantinuumQC]

Read more about our leadership in fault-tolerance here: https://t.co/YG6olRA1g8

[Quantinuum @QuantinuumQC]

Today, Quantinuum officially begins trading on NASDAQ under the ticker symbol QNT.

Today’s milestone is the direct result of the dedication of our team, trust of our partners, and support of the entire quantum community.

Thanks to everyone who helped us reach this historic day.

[Quantinuum @QuantinuumQC]

We invite applications from those with backgrounds in:
🧪 Chemistry
💎 Materials science
💻 Computer science
🧬 Computational biology
⚛ Condensed matter physics
🖥️ Computational physics
📐 Mathematics

Please find the full information, including application details, prices and an indicative programme, at: https://t.co/Vgt6xEey98

[Quantinuum @QuantinuumQC]

Introducing the InQuanto Summer School for Quantum Computational Chemists!

We’re pleased to announce dates for the inaugural InQuanto Summer School, taking place this September in Cambridge, UK -- September 14th - 18th, and registration is now open:
https://t.co/Vgt6xEey98

[Quantinuum @QuantinuumQC]

@nqcc_official The School is designed to:
1. Consolidate fundamentals in quantum computing and quantum chemistry
2. Jump-start participants’ work in a supportive environment
3. Foster cross-disciplinary collaborations

https://t.co/zjsOPjc06M

[Quantinuum @QuantinuumQC]

With 64 of our logical qubits, we were able to simulate quantum magnetism at a scale that can be exceedingly difficult for classical computers.

Read more in our blogpost here: https://t.co/UZyZ6yFYef

[Quantinuum @QuantinuumQC]

We’ve cut the qubit tax in time for tax season!

We’ve taken a big step toward large scale fault-tolerant quantum computing, squeezing 94 error-detected & 48 error-corrected qubits out of 98 physical qubits, an encoding that turns overhead into headroom.
https://t.co/ekYa1bjEQA

[Quantinuum @QuantinuumQC]

This marks a significant milestone for Quantinuum, and the ecosystem at large: a practical step from “connected hardware” to “usable hybrid compute” for real science.

Read more in our blogpost here: https://t.co/Mv4YF6JP2z

[Quantinuum @QuantinuumQC]

We’ve demonstrated an end-to-end hybrid workflow linking the Fugaku supercomputer & the Quantinuum Reimei quantum computer.

For the first time, they operate together as an integrated, end-to-end research platform running a complete scientific workflow.
https://t.co/Mv4YF6JP2z

[Quantinuum @QuantinuumQC]

Using a layered modeling approach to biochemistry, the classical supercomputer handled the large-scale environment, while the quantum device enhanced the treatment of the challenging electronic effects in the molecular “active site” - the part that most limits accuracy in biomolecular reaction simulation.

Read the scientific paper: https://t.co/4PSI416Syy

[Quantinuum @QuantinuumQC]

Beyond practical performance, our results help clarify the limits of classical and quantum-inspired methods for combinatorial optimization, leading to insights that are crucial for understanding where genuine quantum advantage may be possible. https://t.co/BxAg31nTca

[Quantinuum @QuantinuumQC]

We’ve found a new approach for combinatorial optimization!

In a new paper, we introduce a tensor-network–based method that combines matrix product states with iterative local search in a novel way.

Read more in our paper here: https://t.co/BxAg31nTca

[Quantinuum @QuantinuumQC]

This hybrid approach achieves improved performance over existing quantum-inspired techniques on benchmark optimization tasks. https://t.co/BxAg31nTca

[Quantinuum @QuantinuumQC]

In our latest work, we refine the Decoded Quantum Interferometry (DQI) framework, reducing both the qubit requirements and the runtime. It’s one more step toward making an optimized quantum future a reality.

Read more here: https://t.co/yhLr6ZDmZY

[Quantinuum @QuantinuumQC]

Our algorithms team has been hard at work identifying & enhancing areas where quantum computing can truly outperform classical methods.

Here we present an improved approach to DQI, an optimization algorithm that demonstrates a meaningful quantum speedup: https://t.co/snnk7IRn6M

[Quantinuum @QuantinuumQC]

Optimization problems appear everywhere.
They involve finding the best possible solution among thousands— even millions—of options. A classic example comes from the U.S. Postal Service: What’s the most efficient way to deliver millions of packages across the country each day?