Quantum Transistors Can Scale Diamond Color Center Qubits #Q2B #Q2B2025

Home » Artificial intelligence » Quantum Transistors Can Scale Diamond Color Center Qubits #Q2B #Q2B2025Diamond color centers are a well researched field, but using them at scale as qubits was out of reach until recently.

Their Quantum Transistor device (patent pending) resolves the charge stability issue and few more hurdles to enable using color centers as qubits. They presented at the Q2B 2025 conference.They could scale to 250,000 qubits in 2030 using diamond chips that can operate at far higher temperatures (4 kelvin instead of millikelvin) than most other quantum computer solutions. They also have more compact quantum computing systems.Quantum Transistors’ Diamond Processors achieve 2 Qubit hate 99.9988% Fidelity. This paves the way for Scalable Quantum Computing.High-fidelity quantum gates are a cornerstone of any quantum computing and communications architecture. Realizing such control in the presence of realistic errors at the level required for beyond-threshold quantum error correction is a long-standing challenge for all quantum hardware platforms. Here we theoretically develop and experimentally demonstrate error-protected quantum gates in a solid-state quantum network node. Their work combines room-temperature randomized benchmarking with a new class of composite pulses that are simultaneously robust to frequency and amplitude, affecting random and systematic errors. They introduce Power-Unaffected, Doubly-Detuning-Insensitive Gates (PUDDINGs) – a theoretical framework for constructing conditional gates with immunity to both amplitude and frequency errors. For single-qubit and two-qubit CNOT gate demonstrations in a solid-state nitrogen-vacancy (NV) center in diamond, they systematically measure an improvement in the error per gate by up to a factor of 9. By projecting the application of PUDDING to cryogenic temperatures they show a record two-qubit error per gate of 1.2 × 10⁻5, corresponding to a fidelity of 99.9988%, far below the thresholds required by surface and color code error correction. These results present viable building blocks for a new class of fault-tolerant quantum networks and represent the first experimental realization of error-protected conditional gates in solid-state systems.Isotopic enrichment to >99.9% 12C extends electron from about 3 μs (microseconds) to approximately 250 μs (microseconds) and Hahn-echo 𝑇2 from about 40 μs to nearly 1.8 ms. At 4K, electron 𝑇1 exceeds 1 s, effectively removing 𝑇1 as a limiting factor on gate fidelity. Under these conditions, our noise model predicts that two-qubit PUDDING gates achieve an error per gate of 1.2 × 10⁻⁵, while unprotected gates remain at the level of a few 10⁻⁴. Including amplitude noise at the 0.1–1% level increases the PUDDING error only marginally, to a few 10⁻⁵. These values are roughly 400× below a typical surface-code threshold and about 100× below a representative color-code threshold, demonstrating a realistic path to fault-tolerant, error-protected conditional gates in NV-based quantum network nodes. Table 2 summarizes all measured and projected EPGs and gate durations for both single- and two-qubit gates in natural abundance and isotopically purified samples at room temperature and 4 K.Brian Wang is a Futurist Thought Leader and a popular Science blogger with 1 million readers per month. His blog Nextbigfuture.com is ranked #1 Science News Blog. It covers many disruptive technology and trends including Space, Robotics, Artificial Intelligence, Medicine, Anti-aging Biotechnology, and Nanotechnology.Known for identifying cutting edge technologies, he is currently a Co-Founder of a startup and fundraiser for high potential early-stage companies. He is the Head of Research for Allocations for deep technology investments and an Angel Investor at Space Angels.A frequent speaker at corporations, he has been a TEDx speaker, a Singularity University speaker and guest at numerous interviews for radio and podcasts. He is open to public speaking and advising engagements.Comment