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Determinism vs. Amplification

Michael Aksman

Published May 29, 2026• 0 citations
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Abstract

Modern quantum information theory assumes that absolute security and computational advantage must emerge from the controlled amplification of microscopic uncertainty. This assumption has culminated in the recent ETH Zurich randomness amplification experiment, where cryptographic security is obtained through Bell certified randomness generated by cryogenic superconducting qubits. We argue that this approach represents the final and most refined expression of a deeper legacy paradigm: Computation by Exploration. In this paradigm, a machine explores an enormous state space and relies on probability or filtering to locate useful states. In this manuscript, we present a fundamental alternative: Computation by Admissibility. In this paradigm, the physical state space itself is constrained so that inadmissible states simply cannot exist. By utilizing the deterministic topological projections of the DSM-861 architecture, we demonstrate that security, error correction, memory, and computation are not distinct algorithmic tasks,

DOI
10.5281/zenodo.20448245

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Modern quantum information theory assumes that absolute security and computational advantage must emerge from the controlled amplification of microscopic uncertainty. This assumption has culminated in the recent ETH Zurich randomness amplification experiment, where cryptographic security is obtained through Bell certified randomness generated by cryogenic superconducting qubits. We argue that this approach represents the final and most refined expression of a deeper legacy paradigm: Computation by Exploration. In this paradigm, a machine explores an enormous state space and relies on probability or filtering to locate useful states. In this manuscript, we present a fundamental alternative: Computation by Admissibility. In this paradigm, the physical state space itself is constrained so that inadmissible states simply cannot exist. By utilizing the deterministic topological projections of the DSM-861 architecture, we demonstrate that security, error correction, memory, and computation are not distinct algorithmic tasks,
This work introduces "Computation by Admissibility" as a deterministic, physical alternative to quantum computing's reliance on combinatorial state exploration and randomness amplification. Rather than expending massive overhead to maintain fragile superpositions and perform active error correction, this framework establishes rigid topological and geometric boundary conditions where the desired solution emerges as the only admissible physical state. The computational substrate is grounded in three-dimensional solenoidal vortex dynamics. Convective vortex stretching accelerates system trajectories toward localized reconnection events, where anomalous inviscid dissipation acts as an irreversible thermodynamic trapdoor, permanently expelling environmental perturbations. In the Deterministic Spectral Manifold (DSM-861) processor architecture, stability is enforced through a dual-layer mechanism: out-of-plane noise is instantaneously annihilated by geometric boundary projection, while in-plane fluctuations are exponentially suppressed by a massive discrete spectral gap. Computation is thus transformed from probabilistic exploration into autonomous physical relaxation down a Lyapunov free-energy landscape, achieving hardware-level fault tolerance without algorithmic overhead or quantum randomness.
The ability to transfer information securely is essential in the modern world we live in. While the field of cryptography has long researched ways to do this, events over the last couple of years have brought the issues of secure information transfer squarely into the public eye. As a consequence, security and cryptography have quickly become issues of social and political importance, sparking debates about the values of privacy and the role of government. An essential ingredient of modern cryptography is the generation of randomness: cryptographic techniques are built on the premise that one has access to random bits. It is well known, however, that computers cannot produce algorithmically random sequences – that is, sequences with maximal algorithmic information content – but are doomed to produce ‘pseudorandomness’. This lack of randomness can be, and has been, exploited to compromise security, see [4]. The active field of quantum information theory has proposed approaches to provide supposedly ‘unbreakable’ security by exploiting various quantum phenomena. This security unfortunately relies on assumptions about the nature of quantum measurements and their ability to generate random bits. Anton Zeilinger summarises this by postulating that the simplest quantum systems, qubit, can hold only one bit of classical information [6]. This foundational principle is in line with a wider paradigm shift to view quantum information as an extension of classical information, but it is nonetheless unsatisfying to simply postulate this principle, given its importance in determining the practical advantages of quantum information theory. In order to understand better how quantum mechanics can help generate meaningful information, we instead look to relate the outcomes of quantum measurements to formal properties of the system based on more fundamental assumptions. Indeed, we have shown that a) some of the postulated properties of quantum information follow from the formal structure of the theory and b) a purely formal notion of information within a quantum world can generate, via measurement, meaningful and useful information in the macroscopic world (for example, in cryptography). The indeterminism of quantum measurements can be formalised via the notion of value indefiniteness. To explain this concept, let us consider an arbitrary quantum system and ask whether the outcome of a measurement of any observable quantity A (such as the energy of the system, its angular momentum (spin), etc.) is determined prior to the measurement. If this is the case, then we say the observable is value definite with value v(A); otherwise, the observable is value indefinite and v(A) is undefined. Mathematically, one can reduce all observable quantities to so-called projection observables, which can only take the values 0 or 1. Thus, the question of whether the outcome of several measurements can be simultaneously determined in advance can be rephrased in terms of the information ‘carried’ by a particular system in a definite quantum state. Classically, one expects that all quantities are determined in advance, and hence all observables are value definite. Quantum mechanically, however, the belief is that this is not the case, and the information content of quantum systems is limited. Formulating carefully the notion of value indefiniteness allows us to formalise the notion of (quantum) indeterminism; however, this doesn’t help clarify whether quantum systems are indeed value indefinite or not. Staying in this formal framework, the Kochen-Specker theorem [5] provides a first positive result, showing that at least some observables must be value indefinite if one makes the assumption known as non-contextuality, which states that any definite values that exist must be independent of other compatible measurements that may or may not be performed on the system. Under the same assumption, this theorem can be strengthened to show that only one single observable can have the definite value 1 (see [2]). Furthermore, only observables that can be measured simultaneously with this single one can have the definite value 0; the rest must all be value indefinite. Since the preparation of a system involves precisely ensuring that, usually via measurement, the system is in a definite state with respect to some desired observable, this result shows that no other incompatible observable can be value definite. That is, preparing a system in a definite state by making the ‘preparation’ observable value definite specifies completely the information content of the quantum system. This is an example of syntactical quantum information acquiring meaning at the level of the quantum itself. Can the syntactical information at the level of the quantum generate meaning outside the quantum, that is, at the macroscopic level? The results cited above hold in the Hilbert-space framework of quantum mechanics and are formulated only in terms of a syntactical notion of information. Their real importance becomes evident when one interprets them in the context of quantum measurements. Specifically, if we prepare a quantum system in a known state, they allow us to ‘locate’ observables which we can measure, but which are value indefinite; that is, observables whose measurement results are not specified by any pre-existing property of the quantum system. Furthermore, with respect to a mathematical model of unpredictability which we developed in [3], the results of these measurements can be shown to be absolutely unpredictable. In this way we get a mathematical explanation and justification of the largely accepted intuition that quantum mechanics is inherently unpredictable, and that this unpredictability arises from the phenomenon of indefiniteness within the quantum world. Furthermore, if one considers a hypothetical infinite sequence generated by the repeated measurement of a quantum value indefinite observable, one can prove that these sequences must be strongly incomputable, technically ‘bi-immune’ [1]. Such sequences cannot be generated by any Turing machine or classical computer, showing that value indefiniteness leads to a clear classical/quantum split in a purely algorithmic context. Importantly, bi-immunity is a property of observed, macroscopic quantities, quite separate from the quantum framework in which the value indefiniteness is formalised. This form of macroscopic meaning created from the lack of syntactic information is precisely the scenario that quantum random number generators try to create, and which is essential for the development and certification of quantum cryptographic systems. The fact that the macroscopic information created goes beyond anything classically obtainable serves as a valuable practical resource, outside of and removed from the quantum formalism. To conclude, quantum information creates meaning within the quantum and via measure- ment, the lack of information within the quantum, creates meaning and valuable information at the macroscopic level. Acknowledgments The second author thanks Prof. S. Marcus for useful conversations on quantum information theory. This work was supported in part by Marie Curie FP7-PEOPLE-2010-IRSES Grant RANPHYS. References and Notes Abbott, A.A.; Calude, C.S.; Svozil, K. Strong Kochen-Specker theorem and incomputability of quantum randomness. Physical Review A 2012, 86, 062109. Abbott, A.A.; Calude, C.S.; Svozil, K. Value-indefinite observables are almost everywhere. Physical Review A 2013, 89, 032109. Abbott, A.A.; Calude, C.S.; Svozil, K. On the unpredictability of individual quantum measurement outcomes. CDMTCS Research Report 2014, 458. Calude, C.S. Quantum randomness & cryptology. CyberTalk 2013, 3, 42–43. Kochen, S.; Specker, E. The problem of hidden variables in quantum mechanics. Journal of Mathematics and Mechanics 1967, 17, 59–87. Zeilinger, A. A foundational principle for quantum mechanics. Foundations of Physics 1999, 29(4),631–643.
This note species the hardware realization of the DSM-861 deterministic computing architecture, in which correctness is enforced by geometry rather than by error correction. The processor confines computation to a protected subspace of an 861-node spectral manifold through a passive projection operator; states that leave the admissible subspace are shunted before output.Three properties are guarantees, established as theorems of the architecture: exact connement by idempotency (P2 = P, zero leakage); bounded perturbative leakage through the spectralgap rewall (∥(I − P)δx∥ ≤ ∥V ∥/∆); and monotone convergence of the associative memory to a stored attractor. The remaining specicationsnode count, clock structure, arithmetic anchoring, and spline orderare xed by the arithmetic of the terminal Heegner discriminantD = −163. Performance claims are scoped to what the architecture supports: the chip is a classical deterministic device whose projection and associative dynamics are quantum-like in form,and its suppression of inadmissible outputs is exact for the class of states whose inadmissibility is detectable by the 861-projection.
Quantum computation exploits superposition, entanglement, interference, and measurement to process information.Research has moved from theoretical algorithms to functional devices where the performance is not only limited by qubit physics, but also by the control, compilation, error mitigation, and error correction.This review considers quantum computing on various levels of abstraction, including physical qubits, quantum algorithms, system architecture, fault-tolerance, and emerging applications.Study-specific evidence regarding scale, operational quality, connectivity, control and suppression of errors is compared across the different types of superconducting circuits, trapped ions, semiconductor spin qubits, neutral atoms and photonic processors.The review of the fundamental algorithms, noisy intermediate-scale quantum computing, variational and hybrid quantum-classical approaches, quantum simulation, quantum machine learning, and security implications is also discussed.Measurable progress has been demonstrated in published experiments for logical-qubit operation, below-threshold surface-code memory, programmable photonic sampling and platformspecific scaling.However, the reported metrics are not directly interchangeable, and practical advantage remains task-and baseline-dependent.Further progress will need to be accompanied by coordinated developments in hardware reliability, error correction, classical control, estimates of algorithmic resources, and clear classical method comparisons.
This work presents a comprehensive and rigorous examination of quantum computing, spanning its mathematical foundations, physical principles, algorithmic developments, hardware architectures, and philosophical implications. Beginning with linear algebra over Hilbert spaces and the postulates of quantum mechanics, the manuscript develops the formal structure of quantum information theory, including qubits, entanglement, quantum channels, and noise models. The work provides in-depth treatments of the quantum circuit model, alternative computation paradigms such as measurement-based, adiabatic, and topological quantum computation, and the theoretical framework of quantum error correction, including stabilizer and surface codes. Foundational and modern quantum algorithms are analysed in detail, including Shor’s factoring algorithm, Grover’s search, variational quantum eigensolvers, QAOA, and emerging quantum machine learning approaches. Beyond algorithms and implementations, the manuscript addresses scalability challenges, fault tolerance, computational complexity limits, and the implications of quantum computing for cryptography and the extended Church–Turing thesis. The concluding sections explore philosophical questions concerning interpretation, measurement, and the relationship between computation and physical reality. This work is intended as both a reference text and a research-level synthesis for advanced students, researchers, and practitioners in quantum computing, theoretical computer science, and quantum physics.
This paper investigates the fundamental limits of computability at the intersection of classical complexity theory, physics, and distributed artificial intelligence. The Cook–Levin paradigm for deterministic Turing machines and the principles of quantum-topological data protection are considered as the baseline. The impact of the physical factors of real information media on optimization processes is explored. It is demonstrated that the topological features of combinatorial landscapes impose insurmountable constraints on deterministic algorithms. It is established that employing alternative dynamic search frameworks leads to an inversion of the classical complexity relationship between search and verification. The obtained results mathematically substantiate the computational asymmetry critical for cryptographic security.