Abstract Since the mid-1990s theoretical quadratic exponential and polynomial Quantum Computing (QC) speedup algorithms have been discussed. Recently the advent of relativistic information processing (RIP) introducing a relativistic qubit (r-qubit) with additional degrees of freedom beyond the current Hilbert space Bloch 2-sphere qubit formalism extended theory has appeared. In this work a penultimate form of QC speedup – Instantaneous Quantum Computing Algorithms (IQCA) is proposed. Discussion exists on passing beyond the quantum limits of locality and unitarity heretofore restricting the evolution of quantum systems to the standard Copenhagen Interpretation. In that respect as introduced in prior work an ontological-phase topological QC avails itself of extended modeling. As well-known by EPR experiments instantaneous connectivity exists inherently in the nonlocal arena. As our starting point we utilize Bohm’s super-implicate order where inside a wave packet a super-quantum potential introduces nonlocal connectivity. Additionally EPR experiments entangle simultaneously emitted photon pairs by parametric down-conversion. Operating an IQCA requires a parametric up-conversion cycle an M-Theoretic Unified Field Mechanical (MUFM) set of topological transformations beyond the current Galilean Lorentz-Poincairé transforms of the standard model (SM). Yang-Mills Kaluza-Klein (YM-KK) correspondence is shown to provide a path beyond the semi-quantum limit to realize the local-nonlocal duality required to implement IQCA.
Abstract Since the mid-1990s theoretical quadratic exponential and polynomial Quantum Computing (QC) speedup algorithms have been discussed. Recently the advent of relativistic information processing (RIP) introducing a relativistic qubit (r-qubit) with additional degrees of freedom beyond the current Hilbert space Bloch 2-sphere qubit formalism extended theory has appeared. In this work a penultimate form of QC speedup – Instantaneous Quantum Computing Algorithms (IQCA) is proposed. Discussion exists on passing beyond the quantum limits of locality and unitarity heretofore restricting the evolution of quantum systems to the standard Copenhagen Interpretation. In that respect as introduced in prior work an ontological-phase topological QC avails itself of extended modeling. As well-known by EPR experiments instantaneous connectivity exists inherently in the nonlocal arena. As our starting point we utilize Bohm’s super-implicate order where inside a wave packet a super-quantum potential introduces nonlocal connectivity. Additionally EPR experiments entangle simultaneously emitted photon pairs by parametric down-conversion. Operating an IQCA requires a parametric up-conversion cycle an M-Theoretic Unified Field Mechanical (MUFM) set of topological transformations beyond the current Galilean Lorentz-Poincairé transforms of the standard model (SM). Yang-Mills Kaluza-Klein (YM-KK) correspondence is shown to provide a path beyond the semi-quantum limit to realize the local-nonlocal duality required to implement IQCA.
Quantum computing's most consequential claim — that quantum computers provide exponential computational speedup over classical computation — rests on a specific physical assumption: that superposition is ontologically real, that a qubit genuinely and simultaneously occupies multiple states, and that quantum algorithms exploit this simultaneity as a physical resource. A quantum computer with n qubits is claimed to process 2ⁿ computational paths in parallel by virtue of this simultaneous occupation. This paper argues that all three foundational assumptions are precluded by Quantum-Geometry Dynamics (QGD), the physical theory derived from the Minimal Physically Derivable Theories (MPDT) framework established by the Uniqueness Theorem. In QGD, physical reality is strictly and absolutely deterministic. Every fundamental constituent — every preon(+) — has a definite position and definite intrinsic momentum at every moment. There are no indeterminate states, no superpositions, and no wave function collapse at the fundamental level. What quantum mechanics describes as superposition is not a physical state of simultaneous occupation but an epistemic description of ignorance of the deterministic microstate of a preonic configuration. The wave function is a probabilistic description of deterministic preonic dynamics — a calculational tool that correctly predicts statistical outcomes — not a description of a physical state in which a system genuinely occupies multiple configurations simultaneously. This distinction has a direct and specific consequence for quantum computing. Quantum computing devices are genuine physical systems that exploit real quantum mechanical phenomena — phenomena that QGD derives from the deterministic dynamics of preons(+) and preons(−) in the finite discrete preon(−) lattice. The MPDT framework does not forbid the construction or operation of quantum computing devices. What QGD precludes is the ontological foundation on which the exponential speedup argument rests. A quantum computing device is a deterministic preonic configuration occupying one microstate at each moment. The 2ⁿ simultaneous amplitude states of the quantum formalism are elements of a probabilistic description of that microstate — not physical states simultaneously instantiated in the device. Quantum parallelism is a feature of the formalism, not of the underlying physics. The paper develops this argument systematically across eight sections. Section 2 establishes QGD's account of quantum phenomena as emergent from deterministic preonic dynamics, including the derivation of wave-like interference patterns and Bell correlations without superposition. Section 3 examines precisely what superposition is and is not in QGD, culminating in the formal statement that a qubit in the state α|0⟩ + β|1⟩ is not a system simultaneously occupying both states but a deterministic preonic configuration whose microstate determines measurement outcomes but is not individually accessible at the observational level. Section 4 identifies the exact point at which the exponential speedup argument fails: the physical resource it invokes — simultaneous occupation of 2ⁿ states — does not exist in the physical universe that QGD describes. Sections 5 examines three specific quantum algorithms: Shor's factoring algorithm, whose polynomial-time complexity is demonstrated within the quantum formalism but whose underlying preonic complexity remains an open question; Grover's search algorithm, whose quadratic speedup rests on the same ontological assumption; and quantum simulation, which survives the critique more robustly because it does not require exponential parallelism as a resource. Section 6 addresses decoherence, reinterpreting it not as an engineering challenge to be solved by better isolation but as a fundamental feature of reality — the inevitable influence of the instantaneous gravitational field of the entire preon(−) lattice on every qubit configuration, which cannot be shielded against in principle. Sections 7 and 8 develop the implications for the quantum computing programme and conclude. The argument connects directly to the P vs NP analysis in the companion Physicality of Logic paper. Shor's algorithm is the canonical example of a quantum algorithm claimed to solve a classically hard problem — integer factoring — in polynomial time, with significant implications for the security of RSA encryption. If QGD is correct and the exponential speedup argument fails, the classical hardness of factoring is preserved and the cryptographic implications attributed to quantum computing do not follow. The paper does not claim that quantum computing devices are useless — it claims that the specific resource driving the most dramatic projections for quantum computing does not physically exist, and that whatever computational advantages quantum devices possess must be explained within the deterministic preonic framework rather than by appeal to quantum parallelism. The paper is intended for physicists working on quantum computing and quantum foundations, philosophers of physics, and computer scientists working on computational complexity. It is submitted to Foundations of Physics. It is a companion to the author's papers on the Uniqueness Theorem and the Physicality of Logic, and to the book Quantum-Geometry Dynamics: An Axiomatic Approach to Physics.
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.
Quantum computing stands on the cusp of a revolution, offering the potential to solve problems intractable for classical computers. A key enabler of this revolution is the ability to harness quantum entanglement – a phenomenon where two or more quantum particles become inextricably linked, regardless of the distance separating them. This paper introduces a novel quantum algorithm predicated on entanglement, aiming to create a non-local computational framework that transcends the limitations of traditional quantum architectures. We propose a quantum algorithm centered around leveraging instantaneous correlations to enable parallel computation across vast distances, fundamentally altering our approach to problem-solving. The core mechanism of this algorithm involves meticulously crafted entanglement protocols that exploit correlations to achieve exponential speedups in specific computational tasks. This work presents a fundamentally new perspective on quantum computation, focusing on the potential of non-locality to unlock unprecedented computational capabilities. The algorithm's design incorporates key mathematical concepts and proofs necessary for establishing its validity. The resultant algorithm demonstrates, through simulations and preliminary analysis, the potential for significant performance improvements compared to existing quantum algorithms. This paper also discusses the challenges and future research directions associated with this groundbreaking approach.
We postulate bulk universal quantum computing (QC) cannot be achieved without surmounting the quantum uncertainty principle, an inherent barrier by empirical definition in the regime described by the Copenhagen interpretation of quantum theory- the last remaining hurdle to bulk QC. To surmount uncertainty with probability 1, we redefine the basis for the qubit utilizing a unique form of M-Theoretic Calabi-Yau mirror symmetry cast in an LSXD Dirac covariant polarized vacuum with an inherent ‘Feynman synchronization backbone’. This also incorporates a relativistic qubit (r-qubit) providing additional degrees of freedom beyond the traditional Block 2-sphere qubit bringing the r-qubit into correspondence with our version of Relativistic Topological Quantum Field Theory (RTQFT). We present a 3 rd generation prototype design for simplifying bulk QC implementation.
Exponential parallelism, a defining principle of advanced computational systems, holds promise for transformative impacts across several scientific and industrial domains. This feature paper provides a comparative overview of Quantum Computing (QC) and Instantaneous Noise-based Logic (INBL), focusing on their practical strengths, limitations, and applications rather than exhaustive technical depth. Both paradigms leverage exponentially large Hilbert spaces: quantum computing achieves this via quantum superposition, while INBL realizes it through the product space of classical noise processes. Quantum computers attain universality for all computational operations, whereas current INBL frameworks are universal only for Boolean logic; notably, essential superposition operations-such as AND and OR gates-are absent, precluding implementations of algorithms like Shor's. However, for certain problem classes where full universality is not required, INBL and quantum computing can offer equivalent time and hardware complexity, as observed with the Deutsch-Jozsa algorithm. Remarkably, for search tasks such as phonebook lookup, Grover's quantum algorithm provides a quadratic O(n^0.5) speedup compared to the classical approach, while INBL achieves an exponential speedup, requiring only logarithmic time in the size n of the phonebook O(log n). Such INBL algorithms could, in principle, be adapted to quantum hardware to attain similar performance. Importantly, INBL hardware is considerably simpler, being implementable with modest modifications to conventional PC architectures equipped with a true random number generator, and it inherently avoids the decoherence and error correction challenges of quantum systems.
Abstract. What mathematical or physicalmechanism that exactly empowers quantumcomputing over classical computers is still an openquestion. By reexamining physics-based methodsand computational primitives, we study quantumspeedups and limitations related to problems’structure, physical resources and no-go laws. Weaim at some fundamental issues by seeking nonclassicalresolutions on the puzzle via rigorousproofs or evidences: 1) Is quantum entanglement themagic? General physical theories show that theconcept is generic for all non-classical systems, yettoo rare as the computation resource for exponentialquantum speedups in various entanglementquantifications. We reinforce that entanglementalone is insufficient as the characteristic measure. 2)Then, what is the physical dynamic behind? howmuch underlying structure is necessary forexponential quantum speedups? We prove that anyquantum search with cumulative memory such asin Darvin’s evolution, instead of ergodic process, ismathematically sufficient to overcome theexponential NP hardness gap. 3) Can quantummechanics compute beyond Turing machines?Quantum adiabatic process and Brownian diffusionmodel are constructed explicitly to demonstrate thatlaws of physics and emergences offer extendedcomputability in principle. We argue that the openquestion on super Turing computing is independentof physical infinities.Based on quantitative analyses and fundamentalconstraints, we arrive at a few theoretical claimstoward generalized computing: a) Exponentialquantum speedups, ranging from minimal to groupstructures, broadly allow utilizations andgeneralizations of quantum methods to any processwith specific dynamic. Namely, there exist degreesof computational jump. b) Inductive and emergentcomputing are necessary to complement logical,deductive computing; where natural laws arereversely captured by compression or emergencevia observation, interaction. Fundamental rules areapplied forward by nature or observer as generativecomputing. c) Generalized physical computing forpartially describable processes is needed to study,understand and control generative realities, generalAI, mental process and emerging social phenomena;that seem beyond conventional logic or physics, yetare computationally unifiable.The article reviews basic concepts, key logic onselect topics in quantum computing, and integratesseminal results, proof sketches and open questionsto offer ranges of handles, bounds and outlooks indevising a unified framework. Basic elements areoutlined toward a powerful computing theory ofnovel applications for generic systems andprocesses, with convergent capacities of universalTuring machine, general physical theories andendless evolution. It lays out a foundation for followup initiatives on specific problems in computation,physics and intelligence by applying with existingphysical methods and computing models.