Riverlane, a leading quantum computing company, has made significant breakthroughs in quantum error correction, a crucial step towards achieving fault-tolerant quantum computing. Their Deltaflow technology has solved the backlog problem, enabling high-fidelity memory and keeping qubits alive forever. The company’s roadmap includes delivering a MegaQuOp, a critical milestone towards full fault-tolerant quantum computing.
Riverlane’s Quantum Error Correction Roadmap
| 2023: Deltaflow 1 | 2024: Deltaflow 2 | 2025: Deltaflow 3 | 2026: Deltaflow Mega |
|---|---|---|---|
| 1,000 QuOps | 10,000 QuOps | 100,000 QuOps | 1,000,000 QuOps |
| Fast decoding Solving the backlog problem | Logic at scale First, fully error-corrected quantum applications | Streaming logic Enabling perpetual operations | Logic at scale First fully error-corrected quantum applications |
| Streaming high-fidelity memory Keeping the qubits alive forever | Quantum memory Streaming real-time decoding. Leakage aware decoding. First universal interfacing | Quantum gates Fast logic by lattice surgery. Fast logic by transversal gates. Higher error suppression rates First logical orchestration | Universal gate set Universal surface code computation. Dynamic large-scale orchestration. Low-overhead real-time decoding supporting qLDPC codes |
Key milestones include demonstrating lattice surgery with two logical qubits based on solid-state qubit architectures and transversal gates in reconfigurable AMO systems. The company is also developing a new programming language and level of abstraction to enable the orchestration and execution of logical operations.
Riverlane’s work has far-reaching implications for the future of quantum computing, enabling the development of more powerful and reliable quantum computers that can tackle complex problems beyond the capabilities of classical supercomputers.
The key takeaway is that Deltaflow allows for seamless communication between the quantum decoder and the control system, enabling streaming decoding and perpetual logical operations. This is achieved through bespoke interfacing, modeling noise characteristics in partner quantum machines, and simulating stability and memory experiments.
With the release of Deltaflow 3, we can expect to see demonstrations of “fast logic” using Clifford gates, which will enable real-time lattice surgery with two logical qubits based on solid-state qubit architectures. This is a significant milestone, as it marks the first time logical information can be moved between separated logical qubits.
To support this functionality, a new programming language and level of abstraction are being developed to orchestrate and execute these logical operations. The “sliding window” feature will enable real-time execution, making it possible to demonstrate the potential of quantum computers to surpass classical supercomputers.
However, to achieve universality, a noisy T-gate is required. Fortunately, work on software implementations of lattice surgery and Hadamard logic without windowing is underway, and it will be included in the Deltaflow Mega release.
As we scale up quantum computers, precise orchestration of massive data loads becomes crucial. To address this challenge, methods and software tools are being developed to translate logical level unitary circuits into a fault-tolerant instruction set, distribute these instructions efficiently over control systems, and parallelize decoding over multiple components using FPGAs or ASICs.
The roadmap for Deltaflow is ambitious, with milestones including the release of Deltaflow Mega in 2026, which will enable fully error-corrected quantum applications. The ultimate goal is to build a Quantum Error Correction Stack with MegaQuOp error-corrected applications in mind, requiring millions of physical qubits and a TeraQuOp.
This development has significant implications for the future of quantum computing, and I’m excited to see how Deltaflow will continue to evolve and support the growth of this ecosystem.
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