T. J. Watson Team Builds Meter-Scale Links Achieving 99% State Transfer

Building modular quantum computers has been hindered by challenges in creating long-distance connections between processors. Four high-fidelity ‘L-couplers’ link two 120-qubit superconducting processors over a distance of eighty centimetres. These interconnects achieved distant CZ gates with a mean fidelity of ninety-four point seventy-five percent; relay-based state transfer reached an average network benchmarking fidelity of ninety-nine point zero percent.

Connections between two quantum processors, each containing one hundred and twenty qubits, now exist over a distance of eighty centimetres. These ‘L-couplers’ reliably transfer quantum information without losing data coherence, an essential step towards building larger machines than currently possible. The team achieved near perfect state transfers averaging ninety-nine percent fidelity, alongside high quality distant operations between qubits on separate modules; this is a viable method for linking multiple smaller processors into a single powerful system.

Reliable connections between two 120-qubit processors have been demonstrated over a distance of eighty centimetres. These ‘L-couplers’ act as bridges allowing quantum information to travel between different parts of a computer, much like cables connecting rooms in a house. Quantum states were successfully transferred with nearly perfect fidelity, averaging ninety-nine percent; this was alongside high quality operations performed on qubits located on separate modules.

This is a viable method for linking multiple smaller processors into one powerful system and reduces the physical qubit overhead needed for error correction. But can these interconnects be scaled further without compromising coherence or introducing unacceptable levels of noise. Details regarding the hardware implementation and performance metrics follow.

High Fidelity Interconnects Enable Scalable Multi-Chip Quantum Computation

Entanglement measures now exceed previous limits, reaching distant CZ gate fidelities of 96.42 ±0.28%. This is a substantial improvement over earlier demonstrations restricted to fewer qubits or incompatible architectures. These L-couplers enabled relay-based state transfer with mean network benchmarking fidelity surpassing 99%; this level of coherence and connectivity was previously unattainable, paving the way for larger, more powerful systems built from interconnected modules rather than monolithic designs.

A critical bottleneck in scaling quantum computers beyond current limitations has been addressed through this advancement. A six-qubit quantum state achieved a fidelity of 94.75%, which rose to 96.42% with distant CZ gates between lattice qubits; internal quality factors ranged from 0.86 to 1.09e6 within the L-coupler modes used for relaying information between chips. Signals can traverse the entire system, through local couplers, interconnects, and into distant modules, maintaining crucial quantum properties. However, these numbers do not yet reflect performance with sharply larger systems or account for all potential sources of error in real-world applications.

High-fidelity L-couplers demonstrate initial success in dual-processor quantum networking

Four high-fidelity quantum interconnects, termed ‘L-couplers’, have been demonstrated between two 120-qubit superconducting processors separated by 80cm. This represents progress in scaling modular quantum computers by addressing how to connect substantial processing units without losing coherence. The system uses aluminum coaxial cables connected via indium pressure bonds, enabling denser connections than previous approaches. Impressive entanglement generation across these modules is reported; however, this demonstration currently connects only two processor modules.

Extending this architecture remains an ongoing challenge. It builds upon prior work that utilised fewer qubits or incompatible architectures and relied heavily on bench-top tooling for cable attachment. Researchers aimed for compatibility with large qubit processors like their own Nighthawk R1 system, a key distinction from earlier demonstrations of modular quantum communication channels. They acknowledge increasing L-coupler connection counts will present challenges in maintaining reproducibility, scalability, and yield as modular quantum computers grow more complex.

High Fidelity Remote Entanglement Between 120 Qubit Processors via L Couplers

Four high-fidelity “L-couplers”, long-distance couplers designed to connect separate processing units, now operate between two Nighthawk R1 superconducting qubit processors each containing 120 qubits. These connections span eighty centimetres and enable coherent quantum operations across this gap; they achieved distant CZ gates with a mean fidelity of 94.75%. The demonstrated L-couplers utilise frequency-tunable ‘L-qubits’ alongside RF-SQUID based “i’m” couplers and superconducting aluminum coax cabling to achieve relay-based state transfer at an average network benchmarking fidelity of 99.00%, reaching up to 99.29% for the best performing link.

Cables are perpendicularly installed onto processors and bonded using indium-to-indium pressure bonds after module mounting, designed for compatibility with fully wired, larger systems. Partitioning a machine into interconnected modules can reduce physical qubit overhead required for error correction by an order of magnitude even when intermodule link errors are higher than intracluster gate fidelity; existing superconducting aluminum coaxial cables achieving internal quality factors up to 2x 10^6 at 5GHz support this claim as a key metric for signal integrity within these connections.

The team at T. J. Watson Research Centre has demonstrated a scalable approach to quantum computing through the successful interconnection of two one-hundred and twenty qubit processors utilising four high-fidelity ‘L-couplers’. These links reliably transferred quantum states with network benchmarking fidelities exceeding ninety nine percent, establishing a foundation for building larger systems from smaller modules rather than monolithic designs.

Researchers successfully connected two 120-qubit IBM Nighthawk R1 superconducting qubit processors using four long-distance “L-coupler” interconnects spanning eighty centimetres. This connection enabled coherent quantum operations, specifically distant CZ gates achieved at a mean fidelity of 94.75%, demonstrating a method to link separate processing units into a modular system. The team notes that increasing the number of these connections will present challenges in maintaining consistent performance as systems grow more complex. These results suggest a viable path toward scalable, modular quantum computing architectures.

👉 More information
🗞 Meter-scale quantum interconnects between large quantum processors
✍️ Neereja M. Sundaresan, Nicholas Cotaj, Yadav Prasad Kandel, Eric Lewandowski, Christian Robert Longton, Yves Martin, Jae-woong Nah, Kathryn Pooley, Martin Sandberg, Michael Scanlon, Chi Xiong, Emanuil Sashev Yanev, David Abraham, Abhinandan Antony, Vincent Arena, Nicholas Bornman, Khanh Dang, Oliver Dial, Christopher Guarino, Gabriel Haspil, Jared Hertzberg, Kentaro Heya, Swetha Kamlapurkar, Michael Karschner, George Keefe, Eric Liniger, Laura Luo, Thomas G. McConkey, David Olson, Jason Orcutt, Dmitry Ovchinnikov, Timothy Phung, Sankeerth Rajalingam, Michael Selvanayagam, William Shanks, Dongbing Shao, Abigail Shearrow, Adam Stabile, Jiri Stehlik, Joseph Suttle, Jeng-Bang Yau and Eric Zhang (T. J. Watson Research Center)
🧠 ArXiv: https://arxiv.org/abs/2610.29986

Stay current

See today’s quantum computing news on Quantum Zeitgeist for the latest breakthroughs in qubits, hardware, algorithms, and industry deals.

Avatar of Ivy Delaney

Ivy Delaney

Ivy Delaney has been working with neural networks and machine learning since the mid-nineties, back when a couple of hidden layers and a long afternoon of training counted as ambitious. She has watched the field go from academic curiosity to the thing quietly running underneath everything, and she brings that long view to quantum computing. For Quantum Zeitgeist she covers the ground where the two fields meet. That means quantum machine learning and the variational algorithms it leans on, and it also means the less glamorous but more interesting story of classical machine learning already doing real work inside quantum machines, decoding error-correcting codes, calibrating noisy hardware and learning the error models that simulators depend on. She writes about the hardware those algorithms have to run on too, and about the post-quantum cryptography scramble that the same hardware has set off. Her stories typically start with the paper, whether that is peer-reviewed work, conference proceedings or an arXiv preprint, with the source linked so you can hold a claim up against the research it came from. She is unimpressed by benchmarks that will not say what they beat, and by demonstrations that only work in the press release.

Latest Posts by Ivy Delaney: