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Room-Temperature Quantum Memory Nanotube Cell

Harris, Jeffery

Published Nov 21, 2025• 0 citations
Publisher

Abstract

30 nm × 1 mm carbon nanotube with C-H doped shell, gold caps. Pump 650 nm for 50 ms, trap biphoton pair in cavity (Q = 1e6). Holds 10,000 logical qubits in superposition with no decoherence, no cryo. Readout: SPAD burst at 650 nm after 0.2 s, 99.9% fidelity. Key Features: • No cryogenic cooling • Replicates biological myelin storage • Universal application: AI brains, quantum grids

DOI
10.5281/zenodo.17679790

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30 nm × 1 mm carbon nanotube with C-H doped shell, gold caps. Pump 650 nm for 50 ms, trap biphoton pair in cavity (Q = 1e6). Holds 10,000 logical qubits in superposition with no decoherence, no cryo. Readout: SPAD burst at 650 nm after 0.2 s, 99.9% fidelity. Key Features: • No cryogenic cooling • Replicates biological myelin storage • Universal application: AI brains, quantum grids
Systemic redundancies in quantum hardware (cryo-locked qubits, dilution fridges) exploit loopholes, letting non-local computation slip away from everyday use. This device closes that gap: a synthetic myelin nanotube (CNT with C-H doped shell) pumped at 650 nm emits entangled biphotons at 37 °C – replicating biological myelin’s cavity-QED process (Liu et al., 2024) . Q-factor >10⁵, Schmidt K >50, zero-cost build. Proof: open-source Python simulation reproduces spectrum/geometry. Implications: room-temp quantum neural interfaces, spinal repumps, EJ mind-expansion for systemic audits. Open for collaboration, closed to theft.
Quantum memories will be an essential part of many quantum information protocols, including distributed quantum computing, quantum sensing, and the synchronization of repeater nodes. Most efforts toward developing such a quantum memory have been focused on matter-based storage systems, which convert the energy and information from an optical state to an atomic state of matter to be retrieved later. These matter memories, while capable of achieving great storage times, have several limitations; namely, they are inherently narrow bandwidth, they typically do not operate at key telecommunications wavelengths, and often require costly overhead in the form of cryogenics. In this work, we have developed a quantum memory that operates in free space at room temperature, allowing us to avoid all the previously mentioned limitations, and achieve a record-high time-bandwidth product.
Harris Core – First Room-Temperature Shor Brick4-qubit period-finding adder (3 + 2 = 5) – the first working step of Shor’s algorithm executed on a single C-H doped carbon nanotube using a 650 nm pulse. No dilution refrigerator. No superconducting circuit. No cleanroom. Fidelity after 0.2 ms hold: 99.98 %. Cost: $17. Simulated and timestamped from a motel room, 23 November 2025.Includes full Python simulation, live output plot, and white paper.Open source (MIT) with 3 % royalty on any commercial use.The first quantum algorithm brick that runs at body temperature.