Jay Gambetta

Today, @IBM and @Cisco announced plans to build a network of large-scale, fault-tolerant quantum computers — a major step toward distributed quantum computing and the foundation for a future quantum internet. We’re combining IBM’s quantum hardware + software with Cisco’s leadership in networking to tackle the challenge of scaling beyond a single large-scale FTQC. This builds on our commitment to deliver Starling in 2029 and scale to Blue Jay in 2033. News: ibm.com/quantum/blog/n…

Last week at #QDC25 we unveiled major updates to dynamic circuits — one of the most powerful tools for bringing real-time classical logic directly into quantum execution. The result: faster mid-circuit measurement, ~600 ns feedforward, parallel conditional ops, better timing control, a new MidCircuitMeasure, and 20× faster circuit prep (400× in CPU time). We put it to the test on a 46-site kicked Ising simulation across 106 qubits, seeing a 28% reduction in two-qubit gates per Trotter step and up to 24% better performance vs. unitary circuits.

Last week I shared our recent arXiv paper detailing the world’s largest entangled state, with 120 qubits at 56% fidelity with a shot-retention rate of 28%, run on Heron R2 ibm_aachen. Now, with our new Heron R3 ibm_boston, we established a new record GHZ state on 140 qubits at 60% fidelity with a shot-retention rate of 46%.

We just entangled 120 qubits — the largest entangled state ever achieved on a quantum computer. Read the full letter here: arxiv.org/abs/2510.09520…

A few months ago we shared how our Relay-BP algorithm advanced qLDPC decoding. Now we’ve taken the next step—bringing real-time decoding to hardware. We built an FPGA-based Relay-BP decoder for the gross code that fits on a single AMD VU19P and achieves over 8× faster than GPU-based solutions. arxiv.org/abs/2510.21600

Qiskit Fall Fest 2025 is here. In just 5 years, this community has grown from 89 interests in 2023 → 1.3K in 2025. Now hosted by 150 institutions across 49 countries, we expect over 10K participants this year. Hackathons, coding challenges, workshops, speaker series — all driven by the community, for the community. ibm.com/quantum/events…

Last week we unveiled a full-scale model of IBM Quantum System One at Chicago O’Hare In collaboration with @UChicago @UChicagoPME, @APSphysics & @united, this installation celebrates a milestone in quantum: the first IBM quantum computer designed for data centers. With 60,000+ daily visitors, we hope it inspires even more curiosity in quantum computing.

@lutonfieldmodel @HSBC The Quantum service is fully integrated into IBM Cloud and we operate our service at the same standard as all other services on IBM Cloud, used by clients with sensitive data world wide: ibm.com/products/cloud…

@jaygambetta @HSBC How do look up who has access to my run logs and python data? Your assurance that my run logs and python data are not being used to expose trade secrets would help to put my mind at ease.

Early results with @HSBC show quantum computing may bring value to finance. Using production bond-market data, researchers achieved up to 34% better trade-fill prediction. A glimpse of how domain expertise + quantum research = progress. arxiv.org/abs/2509.17715

With @Vanguard_Group, we tested sampling-based VQAs for portfolio construction. Blog: ibm.com/quantum/blog/v… Paper: arxiv.org/abs/2508.13557

The ability to reset a qubit at will is critical for scaling quantum computing. Our team has now shown this can be done with a dynamic range of more than four orders of magnitude. In the RESET OFF spot, the qubit maintains hundreds of microseconds of coherence, while in the RESET ON spot its lifetime drops below 100 ns. Just as important, we confirmed that neighboring qubits remain completely undisturbed during the reset. This is a key step toward fast, scalable quantum computing.

I think you may be jumping to conclusions here. Last time, I shared suggestions with you, and I want to reiterate that we’ve built this platform for you to create real value with it. You have the opportunity to develop your own software, write papers and demonstrate your benchmarks, or even build services and provide solutions. I genuinely wish you success, because the future lies in algorithms that bring together quantum and classical hardware. Many of the papers I highlight reflect this direction, and I encourage you to explore it as a way to make an impact.

@jaygambetta @HSBC I would like to talk with you to discuss my other technical advance that would greatly benefit your program. I know your policy against dealing with independent researchers but I was hoping my gift of relational math would persuade you.

Our team, together with Oak Ridge National Laboratory, has performed the largest quantum ground state simulation of the Anderson model to date. This is the first simulation beyond the reach of exact diagonalization. The study used 70 qubits, four impurities, seven bath sites per impurity, and up to 6000 two-qubit gates on an IBM Heron processor. The results match DMRG calculations, showing the algorithm is robust to noise and pointing toward quantum advantage for ground states of many-body systems. paper arxiv.org/abs/2501.09702

Since 2016, we’ve been giving researchers free access to IBM quantum computers. Now, the upgraded IBM Quantum Credits program provides access to our most powerful systems to drive high-impact research toward quantum advantage. Apply here: ibm.com/quantum/blog/q…

With our collaborators from BasQ, CERN, UAM–CSIC, Wigner, the team used a 144-qubit superconducting processor to simulate the real-time dynamics of confining strings in gauge theory an important problem for quantum simulation in high-energy physics. See the paper arxiv.org/abs/2507.08088

@dallairedemers I personally never got the point of barren plateaus. All numerical methods that have more control parameters than parameters that matter have numerical instability. These new methods dont have this problem as they are smarter in design.

@jaygambetta Where in the workflow did the barren plateaus go? Is there still some notion of a preparation procedure at the output of the workflow which can be used to evaluate other observables once a ground state is found? That's a big system, if the VQE barrier has been broken it's great!

On ibm_aachen, our new SqDRIFT algorithm achieved 48-qubit electronic structure simulations of coronene with accuracy beyond post-Hartree-Fock, narrowing the gap with SCI and opening the door to quantum-centric supercomputing for chemistry: arxiv.org/abs/2508.02578

@PerelmanElias @AMD I see three things 1. decoders for FTQC, 2. Tensor methods for error mitigation, 3. Real HPC + Quantum integration to do things like SQD and SKQD.

@jaygambetta @AMD Love seeing legacy architectures evolve. What exactly will bridge classical and quantum workloads at a computational level? Are we talking about tensor network simulations or more advanced forms of quantum circuit completions? Either way, the task is monumental in scope.

I’m excited to announce a new collaboration with @AMD to develop the next generation of computing architectures for quantum-centric supercomputing (QCSC): newsroom.ibm.com/2025-08-26-ibm…