On this page
Papers & Citations
All publications are authored by Sethurathienam Iyer — ORCID: 0009-0008-5446-2856.
ShunyaBar Publications#
| Year | Project | Article |
|---|---|---|
| 2025 | Casimir SAT | Solving SAT with Quantum Vacuum Dynamics |
| 2025 | Spectral-Multiplicative | Spectral-Multiplicative Optimization Framework |
| 2025 | ShunyaBar | ShunyaBar: Spectral-Arithmetic Phase Transitions |
| 2026 | BAHA | Multiplicative Calculus for Hardness Detection |
| 2026 | NitroSAT | NitroSAT: A Physics-Informed MaxSAT Solver |
| 2026 | Emergent Stochasticity | Emergent Stochasticity from Serialized Concurrency |
| 2025 | Multiplicative PINN | Multiplicative PINN Framework |
Theoretical Foundations#
Phase Transitions & Statistical Physics#
-
Kirkpatrick, Gelatt & Vecchi (1983). “Optimization by Simulated Annealing”. Science, 220(4598), 671-680.
- Original simulated annealing — BAHA builds on this
-
Parisi, G. (1979). “Infinite Number of Order Parameters for Spin-Glasses”. Physical Review Letters, 43(23), 1754-1756.
- Replica method for analyzing random constraint problems
-
Mezard, Parisi, & Zecchina (2002). “Analytic and Algorithmic Solution of Random Satisfiability Problems”. Science, 297(5582), 812-815.
- Analytic solution of random SAT — connection to phase transitions
-
Monasson, Zecchina, Kirkpatrick, Selman, & Troyansky (1999). “Determining Computational Complexity from Characteristic ‘Phase Transitions’”. Nature, 400, 133-137.
- Phase transitions as complexity landmarks
Lambert W Function#
- Corless, Gonnet, Hare, Jeffrey, & Knuth (1996). “On the Lambert W Function”. Advances in Computational Mathematics, 5, 329-359.
- Definitive reference for Lambert W properties
Spin Glass#
- Sherrington & Kirkpatrick (1975). “Solvable Model of a Spin-Glass”. Physical Review Letters, 35, 1792-1796.
- Solvable mean-field spin glass
Inference & Learning#
-
Mezard & Montanari (2009). Information, Physics, and Computation. Oxford University Press.
- Message-passing algorithms, constraint satisfaction
-
Zdeborova & Krzakala (2016). “Statistical Physics of Inference: Thresholds and Algorithms”. Advances in Physics, 65(5), 453-552.
- Modern statistical physics approach to inference
Physics-Inspired Computing#
-
Casimir, H. B. G. (1948). “On the Attraction Between Two Perfectly Conducting Plates”. Indagationes Mathematicae, 10, 261-263.
- Original Casimir effect paper
-
Gros, C. (2009). Complex and Adaptive Dynamical Systems. Springer.
- Thermodynamics of optimization
Key Mathematical References#
Riemann Zeta & Prime Number Theorem#
- Titchmarsh, E. C. (1986). The Theory of the Riemann Zeta-Function. Oxford University Press.
- Edwards, H. M. (1974). Riemann’s Zeta Function. Academic Press.
p-adic Numbers#
- Gouvea, F. Q. (2012). p-adic Numbers: An Introduction. Springer.
- Mahler, K. (1981). p-adic Numbers and their Functions. Cambridge University Press.
Chinese Remainder Theorem#
- Ding, Pei, & Salomaa (1996). Chinese Remainder Theorem: Applications in Computing, Coding, Cryptography. World Scientific.
- Garner, H. I. (1959). “The Residue Number System”. IRE Transactions on Electronic Computers, EC-8(2), 140-147.
Persistent Homology#
- Edelsbrunner & Harer (2008). “Persistent Homology: A Survey”. Contemporary Mathematics, 453.
- Zomorodian & Carlsson (2005). “Computing Persistent Homology”. Discrete & Computational Geometry, 33(2), 249-274.
External Links#
See Also#
- Related Work — comparison with prior approaches
- All Projects — project-specific DOIs and references
- Research Report — technical assessment of each project
- Glossary — terminology reference