05 July 2023
15 May 2023
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
29 May 2022
May 29, 2022 — Kevin Knuth and Christopher Altman featured in a forward-looking article on NASA's plans to work with a Congressionally-mandated interagency UAP Task Force on the investigation of UAP. Kevin H. Knuth, Associate Professor of Physics, University at Albany (SUNY), and former NASA research scientist stated:
“It's about time that scientists start taking this subject seriously, especially since there is a potential for paradigm-shifting implications. I would be very interested in knowing whether NASA astronauts have had any encounters with UAPs like US Navy pilots.”
Starlab veteran Christopher Altman, a NASA-trained Commercial Astronaut and Research Affiliate at the Harvard University Center for Astrophysics, Harvard & Smithsonian, commented on the NASA working group, stating:
“The development signals a refreshing sea change, a quantum leap forward—completely unprecedented in NASA's 65-year history addressing the phenomenon. We're entering into a new era of openness, transparency, and accountability that holds the potential to shed light on one of mankind's greatest enduring mysteries.”
24 March 2022
03 December 2017
Physicists in the QUTIS Quantum Biomimetics and Quantum Artificial Life research group at the Department of Physical Chemistry, University of the Basque Country in Spain have harnessed the unprecedented power of the IBM Q Cloud Quantum Computer—recently made available for public use (IBM makes 20 qubit quantum computing machine available as a cloud service)—to reproduce the hallmark features of Darwinian life and evolution in microscopic quantum systems, proving they can efficiently encode quantum features and biological behaviors that are usually associated with living systems and natural selection.
The fundamental features of evolution captured in the system include interaction between individuals, self-replication, generational adaptation, and heritable mutations conveyed through the transfer of entangled quantum information. The self-replication mechanism employed by the researchers is based on two partial quantum cloning events—an operation that entangles either the genotype or the phenotype with a blank state, and copies a certain expectation value of the original qubit in both of the outcome qubits.
The final ingredient is the interaction between individuals, which conditionally exchange the phenotypes depending on the genotypes. This behavior is achieved via a four-qubit unitary operation, where genotypes and phenotypes play the role of control and target qubits, respectively. The conjunction of these components leads to a minimal but consistent Darwinian quantum scenario.From the report:
Quantum Artificial Life in an IBM Quantum Computer
We present the first experimental realization of a quantum artificial life algorithm in a quantum computer. The quantum biomimetic protocol encodes tailored quantum behaviors belonging to living systems, namely, self-replication, mutation, interaction between individuals, and death, into the IBM cloud quantum computer.
In this experiment, entanglement spreads throughout generations of individuals, where genuine quantum information features are inherited through genealogical networks. As a pioneering proof-of-principle, experimental data fits the ideal theoretical model with accuracy.
Thereafter, these and other models of quantum artificial life—for which no classical device may predict its quantum supremacy evolution—can be further explored in novel generations of quantum computers. Quantum biomimetics, quantum machine learning, and quantum artificial intelligence will move forward hand-in-hand through more elaborate levels of quantum complexity.The researchers foresee a rich field of investigation arising from the confluence of quantum and natural life:
The creation of these quantum living units and their possible applications are expected to have deep implications in the community of quantum simulation and quantum computing in a variety of quantum platforms. All in all, the experiments presented here entail the validation of quantum artificial life in the lab and, in particular, in cloud quantum computers, as that of IBM.
Still another interesting step would be the development of autonomous quantum devices following the theoretical and experimental results in quantum cellular automata. Our quantum individuals are driven by an adaptation effort along the lines of a quantum Darwinian evolution, which effectively transfer quantum information through generations of larger multiqubit entangled states. We believe that the presented results and vision, both in theory and experiments, should hoist this innovative research line as one of the leading banners in the future of quantum technologies.The same research group published the report Artificial Life in Quantum Technologies last year:
We develop a quantum information protocol that models the biological behaviors of individuals living in a natural selection scenario. The artificially engineered evolution of the quantum living units shows the fundamental features of life in a common environment, such as self-replication, mutation, interaction of individuals, and death. We propose how to mimic these bio-inspired features in a quantum-mechanical formalism, which allows for an experimental implementation achievable with current quantum platforms. This result paves the way for the realization of artificial life and embodied evolution with quantum technologies.
Links
- QUTIS Group, Department of Physical Chemistry, University of the Basque Country, Spain
- Quantum Biomimetics and Quantum Artificial Life – QUTIS
- arXiv [1711.09442] Quantum Artificial Life in an IBM Quantum Computer
- The future is quantum – IBM Research
- Quantum Computing
- The IBM Q experience
- IBM’s Newest Quantum Computers Are the Most Powerful of Their Kind
- IBM announces a trailblazing quantum machine














