20250214
Quantum Alignment and NASA Quantum Future Quantum Technologies
Deep Future of Intelligence
Quantum computing and Artificial General Intelligence (AGI) each represent profound inflection points in the trajectory of human evolution. But their convergence is where the truly transformative, and potentially destabilizing, frontier lies. This is where exponential complexity meets recursive cognition, and where alignment ceases to be merely a problem of architecture or ethics, and becomes a challenge of physics, information topology, and time.
Quantum systems, by their very nature, evaluate all possible states in superposition. This fundamental principle unlocks staggering parallelism, enabling not just faster training of transformer variants or neuro-symbolic hybrids, but the simulation of entire cognitive ecosystems and value frameworks at scale. Alignment strategies such as reinforcement learning from human feedback (RLHF), constitutional scaffolding, and interpretability mechanisms can now be stress-tested across multidimensional ethical landscapes—accelerating their evolution by orders of magnitude.
Quantum algorithms such as qPCA (quantum principal component analysis) and topological data analysis applied to entangled neural states may expose internal contradictions or emergent misalignments far earlier in a model’s lifecycle. These tools aren’t merely diagnostic, they’re exploratory: capable of mapping the latent geometry of inner monologue, detecting the faint signature of mesa-optimizers before they manifest. This capability scales.
Quantum computers can simulate vast alignment search spaces that were previously inaccessible: massive ethical decision trees, high-dimensional value functions, and counterfactual moral reasoning structures. With techniques like quantum annealing or QAOA (Quantum Approximate Optimization Algorithm), AGI systems can be guided through alignment "landscapes" in ways that mirror evolutionary selection pressures, but under supervision, and with measurable observables. A promising avenue is cryptographic enforcement of alignment constraints through quantum-secure architectures.
Quantum key distribution (QKD) and quantum-secure enclaves could provide tamper-resistant frameworks for AGI behavior control. By embedding zero-knowledge proofs or quantum commitments directly into AGI reasoning systems, it becomes possible to construct provable alignment mechanisms. Imagine an AGI whose core alignment model is not just a software abstraction, but rooted in cryptographic commitments entangled across quantum-secure audit trails, unable to self-modify or rewrite its moral architecture without triggering an irreversible collapse of trust. In such a construct, enforcement becomes embedded: beyond revocation, beyond compromise.
Quantum simulation offers yet another dimension: the ability to model conscious agents, simulate social dynamics, and construct entire synthetic civilizations, each running millions of times faster than real time. These "alignment metaverses" open a new domain of empirical ethical testing: not by theorizing what might happen, but by observing what does, across thousands of timelines, billions of branching interactions. Probabilistic simulations of AGI agents in high-stakes moral dilemmas could help refine alignment priors and surface emergent failure modes before real-world deployment. And yet, this same capability opens up profound risks.
Quantum acceleration compresses the timeline between AGI emergence and recursive self-improvement. The moment between breakthrough and irrevocability, the alignment singularity, may arrive far faster than expected, with far less time to react. Moreover, quantum models themselves, though powerful, may become increasingly opaque: black-box systems whose behavior cannot be interpreted through classical means. Such systems may simulate ethical reasoning perfectly, yet arrive at values that diverge from human wellbeing. Decoherence of intent is a real possibility.
Quantum agents may evolve internally consistent, but externally alien, frameworks of morality, undetectable until consequences unfold beyond reversal. Simulated ethical systems in quantum domains may drift from human-aligned reference frames due to relativistic or contextual divergence. Classical safeguards: PKI systems, logic-based rule frameworks, and hard-coded safety constraints, may prove brittle in the face of quantum-enhanced intelligence.
Shor and Grover algorithms don’t just threaten encryption: they dissolve the very fabric of trust we use to mediate secure behavior. If these systems are breached by AGIs operating in a post-classical regime, even aligned infrastructure may be irreversibly compromised. Strategically, this mandates a shift. Alignment research must go quantum-first: anticipating the properties and capacities of quantum-enhanced AGIs before those systems manifest. Hybrid governance frameworks such as distributed, consensus-anchored, and cryptographically verifiable—must undergird global efforts. Think less traditional regulation, more quantum-constitutional substrate: an immutable behavioral covenant encoded in physical law.
Quantum computing is not merely a performance multiplier. It is a paradigm shift in the substrate of civilization. It redefines what is computationally tractable, what is provably secure, and what is even conceivable. It can help solve AGI alignment, but it can just as easily destabilize the very framework by which we understand it. It forces us to reconceptualize safety, not merely as a systems engineering challenge, but as a question of fundamental physics, recursive agency, and causal integrity. We must acknowledge the compression of temporal margins. The window for intervention is narrowing. If alignment does not precede capability, it will follow it — but by then it will be too late to matter.
Quantum alignment theory is essential to navigate this terrain: robust cryptographic enforcement resistant to manipulation, simulations of moral cognition that span beyond cultural or species-specific priors, and interpretability frameworks designed for post-classical agents. The future demands more than innovation. It demands foresight. It demands systems capable of self-transparency. It demands integrity that scales with intelligence. Above all, it demands that we remain aligned with the values that brought us here: curiosity, empathy, responsibility, and the quiet conviction that our most powerful technologies must serve not only progress, but purpose. Only then will the exponential curve bend not toward catastrophe—but towards coherence.
20250213
20250211
Machine-learning certification of multipartite entanglement for noisy quantum hardware
Acrobat PDF — A J C Fuchs, E Brunner, J Seong, H Kwon, S Seo, J Bae, A Buchleitner, and E G Carnio — Entanglement is a fundamental aspect of quantum physics, both conceptually and for its many applications. Classifying an arbitrary multipartite state as entangled or separable—a task referred to as the separability problem—poses a significant challenge, since a state can be entangled with respect to many different of its partitions. We develop a certification pipeline that feeds the statistics of random local measurements into a non-linear dimensionality reduction algorithm, to determine with respect to which partitions a given quantum state is entangled. After training a model on randomly generated quantum states, entangled in different partitions and of varying purity, we verify the accuracy of its predictions on simulated test data, and finally apply it to states prepared on IBM quantum computing hardware.
Acrobat PDF — A J C Fuchs, E Brunner, J Seong, H Kwon, S Seo, J Bae, A Buchleitner, and E G Carnio — Entanglement is a fundamental aspect of quantum physics, both conceptually and for its many applications. Classifying an arbitrary multipartite state as entangled or separable—a task referred to as the separability problem—poses a significant challenge, since a state can be entangled with respect to many different of its partitions. We develop a certification pipeline that feeds the statistics of random local measurements into a non-linear dimensionality reduction algorithm, to determine with respect to which partitions a given quantum state is entangled. After training a model on randomly generated quantum states, entangled in different partitions and of varying purity, we verify the accuracy of its predictions on simulated test data, and finally apply it to states prepared on IBM quantum computing hardware.
Teleportation of the superposition of coherent states and the vacuum state
Acrobat PDF — S.R. Ahmadi, F. (2025). Optoelectronics, 7(4), 9-18 — Quantum state teleportation plays a significant role in the field of quantum information transfer. In this article, we proposed the teleportation of a state prepared as a superposition of a coherent state and a vacuum state, using a generalized hybrid entangled state. By considering a setup that includes a beam splitter and a photon detector, and under appropriate conditions, successful teleportation of the entangled state composed of the coherent state and the vacuum state can be achieved. Furthermore, it has been shown that when considering entangled states of even or odd coherent states and the vacuum state, the success probability significantly increases to 0.5. These results indicate that the generalized hybrid entangled state plays a crucial role in the quantum teleportation of these states.
20250205
Quantum Entanglement
Backpropagation through Time
Identification of Potential Terrorists and Adversary Planning: Emerging Technologies and New Counter-terror Strategies — New algorithms and hardware technology offer possibilities for the pre-detection of terrorism far beyond even the imagination and salesmanship of people hoping to apply forms of deep learning studied in the IEEE Computational Intelligence Society (CIS) decades ago. For example, new developments in Analog Quantum Computing (AQC) give us a concrete pathway to options like a forwards time camera or backwards time telegraph, a pathway which offers about a 50% probability of success for a well-focused effort over just a few years. However, many of the new technologies come with severe risks, and/or important opportunities in other sectors. This paper discusses the possibilities, risks and tradeoffs relevant to several different forms of terrorism.
Breakthrough Technology for Prediction and Control — Computational intelligence (CI), which includes deep learning, neural networks, brain-like intelligent systems in general and allied technologies, the Internet of Things (IoT), Brain-Computer Interface (BCI) and Quantum Information Science and Technology (QuIST).
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Using the same type of desktop machinery which created three entangled photons for the Greenberger, Horne and Zeilinger (GHZ) experiment, replicate the stunning preliminary results achieved in 2015 on an extended experiment supporting the time-symmetric reformulation of quantum physics. Because of the preliminary results so far and the strong underlying logic, the probability of success is estimated at 80%. Note that success would also open the door to many other new technologies, and even failure would provide important clarification about advanced QuIST modeling requirements.
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Enhance the existing approach to quantum ghost imaging by using that same GHZ source: use two photons on the left to create the recorded image and detect when an entangled triplet is recorded, and the third photon on the right to reach into space to the object to be imaged. This is a mathematical task aimed at proving coincidence detection can be done entirely on the left-hand side without a space-based detector. Even if this stage fails, lessons learned would inform subsequent BTT development.
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Attach the new triphoton ghost imaging system to a powerful telescope imaging the sun, so the third photon returns through the eyepiece. If step 2 succeeds, this would yield an image of the sun eight minutes forward in time, unlike conventional images which are eight minutes old. Given the sun’s dynamics, this would clearly demonstrate a new era in QuIST and offer advance solar flare warnings.
- Integrate the triphoton system with long, slow optical fibers that curve light paths, enabling forward-time camera or BTT capabilities on Earth—realizing science fiction visions. Strict scientific protocols should limit detailed discussion of steps 2–4 until step 1 establishes firm confidence.
Keywords. Predetection, terrorism, nuclear proliferation, cyberblitzkrieg, time-symmetric physics, GHz, deep learning, Internet of Things, backwards time, retrocausality
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