Autonomous Dissipative Quantum Processing

In the paper's words

Current quantum computing architectures face a thermodynamic bottleneck where the energy cost of classical error correction scales superlinearly with system size. Reliance on exogenous classical control imposes a latency and power penalty that renders hybrid paradigms unscalable for exascale applications. An architecture for autonomous dissipative quantum processing is defined to replace active feedback with hardware-intrinsic stability.

The abstract, verbatim, and its opening sentence is the claim. Every line below is quoted from the text.

Numbers it reports

1. Assuming a chip area of 1 cm$^2$ and a drive power density of 0.5 W/cm$^2$ required to maintain the 14.5 meV gap, the total heat load is 0.5 W, well within the 15 W envelope.

   from 4.7 Thermal Budget and Kapitza

2. For a flux of 5000 W/m$^2$, the temperature jump $\Delta T = Q \cdot R_K \approx 0.5$ K.

   from 4.7 Thermal Budget and Kapitza

3. Stabilization Protocol Author: Rowan Brad Quni-Gudzinas Contact: rowan.quni@outlook.com ORCID: 0009-0002-4317-5604 ISNI: 0000000526456062 URL: https://papers.qnfo.org/papers/autonomous-dissipative-quantum-processing/ Publication Date: 2025-11-30 Version: 1.0 Abstract : Current quantum computing architectures face a thermodynamic bottleneck where the energy cost of classical error correction scales superlinearly with system size.

   from Hardware-intrinsic

4. (2015) demonstrate that the information-theoretic cost of syndrome decoding imposes a lower bound on energy consumption.

   from 1.1 Thermodynamic

5. (2013) demonstrate that while isolation preserves coherence, it prevents export of entropy required for cooling and initialization.

   from 1.3 Failure of Isolationist

6. (2002) established that while 2D topological codes possess a high error threshold, they lack a finite-temperature phase transition, rendering them unstable without intervention.

   from 1.4 Gap in

How it is done

1. Stabilization Protocol Author: Rowan Brad Quni-Gudzinas Contact: rowan.quni@outlook.com ORCID: 0009-0002-4317-5604 ISNI: 0000000526456062 URL: https://papers.qnfo.org/papers/autonomous-dissipative-quantum-processing/ Publication Date: 2025-11-30 Version: 1.0 Abstract : Current quantum computing architectures face a thermodynamic bottleneck where the energy cost of classical error correction scales superlinearly with system size.

   from Hardware-intrinsic

2. (2015) demonstrate that the information-theoretic cost of syndrome decoding imposes a lower bound on energy consumption.

   from 1.1 Thermodynamic

3. (2012) describe this architecture, where quantum hardware functions as a passive substrate for an active classical algorithm.

   from 1.2 Exogenous Verification

4. The code is defined as the steady-state solution of physical system dynamics rather than a software algorithm.

   from 1.5 Autonomous

What would falsify it

1. Heat flux correlates with logical error rate, providing falsifiability condition.

   from 4.12 Predictive Thermal

Where the claim stops

1. However, separation of state and control introduces a bandwidth bottleneck between the cryostat and room-temperature logic.

   from 1.2 Exogenous Verification

2. Model Standard approaches to quantum error correction assume the quantum system can be isolated from its environment.

   from 1.3 Failure of Isolationist

3. Information encoded in such a system is protected against local errors that do not span the lattice.

   from 2.1 Foundations of

Where to read

1. Hardware-intrinsic185 words · 1 min
2. 1.0 Introduction753 words · 3 min
3. 2.0 Literature Review521 words · 2 min
4. 3.0 Methodological Framework1,056 words · 5 min
5. 4.0 Analysis and Validation649 words · 3 min
6. Appendix A: Formal174 words · 1 min
7. Appendix B: Notation and Glossary |173 words · 1 min
8. Appendix C: Algorithmic Logic97 words · 1 min