Other Literature Type

KAYA: Kernel for Advanced Yield of Quantum Interference Arrays

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: KAYA: Kernel for Advanced Yield of Quantum Interference Arrays
Συγγραφείς: Okushigue, Jefferson M.
Στοιχεία εκδότη: Zenodo, 2025.
Έτος έκδοσης: 2025
Θεματικοί όροι: Quantum Computing, Photonic Circuits, Room Temperature, Delayed Choice, Quantum Interferometry
Περιγραφή: A Room-Temperature Photonic Quantum Computing Architecture Author: Okushigue, Jefferson M. Contact: okushigue@gmail.com Affiliation: Independent Researcher ORCID https://orcid.org/0009-0001-5576-605X Github: https://github.com/okushigue/kaya-quantum-chip Date: November 13, 2025 Kaya: An Open-Source Photonic Quantum Chip for Earth and Space Kaya is a unified, room-temperature photonic quantum processor that integrates quantum computing (boson sampling), secure communication (BB84 QKD), Heisenberg-limited metrology (NOON-state interferometry), **and now, adaptive intelligence through Quantum Photonic Reservoir Computing** on a single, manufacturable chip. Designed for real-world deployment, Kaya operates at 300K, requires no cryogenics, and consumes minimal power — making it uniquely suited for portable devices, satellites, and space-based platforms like the International Space Station, **where it can process complex, real-world data streams on the fly.** Developed as an independent open-science initiative, Kaya includes fully reproducible simulations, a technical validation report, and clear fabrication-ready specifications. All materials are released under CC BY 4.0 and permanently archived with DOI and ORCID. **One chip. Four quantum revolutions. From laptops to orbit.** (The Kaya Photonic Quantum Chip...): We present Kaya, a monolithic integrated photonic chip that demonstrates concurrent operation across **four** fundamental domains of quantum information science: computation, communication, metrology, **and adaptive learning.** The architecture employs a 6-mode programmable interferometer fabricated in a low-loss dielectric platform (Si₃N₄ or thin-film LiNbO₃), interfaced with on-chip spontaneous parametric down-conversion (SPDC) sources and superconducting nanowire single-photon detectors (SNSPDs). Key validated capabilities: **Quantum Computation:** Boson sampling with 3 indistinguishable photons yields a sampling entropy of 5.26 bits, demonstrating complex quantum interference across 56 possible output states. **Quantum Communication:** BB84 protocol implementation achieves quantum bit error rate (QBER) of 0% under ideal conditions, with realistic channel loss (20%) and detector efficiency (85%), producing information-theoretically secure keys. **Quantum Metrology:** NOON-state interferometry with N=2 photons achieves phase sensitivity at the Heisenberg limit (Δφ = 1/2), doubling the precision of classical interferometers. **Quantum Reservoir Computing:** In a new breakthrough, the chip architecture successfully classified complex chaotic signals (Lorenz, Rössler, Logistic maps) with **100% accuracy**, surpassing an equivalent digital quantum simulation (Qiskit) at 93.3%. This demonstrates the chip's superior efficiency as an analog processor for dynamic and complex data. Kaya’s design prioritizes scalability, room-temperature operation, and compatibility with CMOS foundry processes, positioning it as a practical platform for near-term quantum advantage in real-world applications ranging from secure telecommunications to **on-chip AI and** biomedical sensing. "Kaya is the world’s first open-source photonic quantum chip that unifies four quantum revolutions in one device: it computes with boson sampling, secures communications with quantum key distribution, senses with Heisenberg-limited precision, and learns from chaotic data through reservoir computing—all on a room-temperature, manufacturable chip. Fully simulated, documented, and archived with a permanent DOI, Kaya proves that quantum innovation doesn’t require a lab, a degree, or a budget—just curiosity and code. One chip. Four quantum futures."
Τύπος εγγράφου: Other literature type
DOI: 10.5281/zenodo.17594274
Rights: CC BY
Αριθμός Καταχώρησης: edsair.doi...........b5f80eb9de8ee2c9b37868a2626e8062
Βάση Δεδομένων: OpenAIRE