The future of computing may have been foreseen much earlier than many realize. This description is closer to what is now known as machine learning, as Alan Turing predicted in 1950 the emergence of “machines that learn from experience.” This prediction gained cultural attention with the 1968 release of 2001: A Space Odyssey, its novel, and its depiction of the artificially intelligent supercomputer HAL, whose advanced capabilities impressed observers like Arthur C. Clarke. Since then, computers and artificial intelligence have fueled the collective imagination, a trend that continues in contemporary literature with works like Kazuo Ishiguro’s novel Clara and the Sun, which explores an artificially intelligent future. As artificial intelligence transforms society, researchers are now building on decades of conceptual development to develop quantum computers, a technology that has the potential to redefine the basis of computation.
Evolution of HAL and Computing AI
The concept of artificial intelligence capable of independent thought and action is no longer limited to the world of science fiction. It is deeply rooted in early scientific predictions. Stanley Kubrick and Arthur C. Clarke drew inspiration from the burgeoning world of large electronic computers at Bell Labs and IBM when crafting their futuristic stories, and were impressed by the performance of these early machines. The film’s portrayal of HAL, capable of speech, language comprehension, autonomous decision-making, and even the ability to display emotions such as fear, struck a deep chord with audiences and quickly became a cinematic prototype for autonomous, potentially threatening AI. This fictional quest reflected the gradual transition of theoretical ideas into concrete reality, from the first commercial computers in the 1950s to personal computers in the 1980s.
This progress continues with the development of modern artificial intelligence, demonstrating a consistent interaction between scientific progress and cultural imagination. “The characteristics that make Clara one of the most positive and humanizing representations of artificial intelligence in modern storytelling” highlight the diverse ways in which AI has been conceptualized and explored. This contrast between HAL’s cautionary tale and Clara’s compassionate portrayal highlights the ongoing debate over the ethical implications and potential social impact of increasingly sophisticated artificial intelligence. The evolution from Turing’s early predictions, through the cultural influence of HAL, to the nuanced explorations of authors like Ishiguro, points to a continuing and evolving conversation about the possibilities and dangers of creating machines that can think and feel in any meaningful way.
Feynman’s Insights: Quantum Systems and Computation
The pursuit of quantum computing, once relegated to the realm of theoretical physics, is rapidly moving into concrete technological endeavors based on insights dating back nearly half a century. Artificial intelligence systems are already reshaping industries, and researchers around the world are building machines based on the laws governing the quantum realm sparked by the observations of physicists like Richard Feynman. In the early 1980s, Nobel laureates realized that using classical computers to simulate the behavior of matter at the atomic level required resources that were rapidly increasing to prohibitive amounts. This limitation spurred the first conceptualization of quantum computing. Out of this difficulty came an intuition that opened up an entire field of research. To effectively describe quantum systems, it may be necessary to build computers that directly exploit the laws of quantum mechanics.
This is not just a matter of miniaturizing existing technology. A fundamentally different approach to information processing is required. While classical computers rely on bits to represent 0 or 1, quantum computers utilize qubits. These qubits can exploit the principle of superposition to exist as a combination of both states simultaneously, dramatically expanding computational possibilities. When multiple qubits are entangled, their properties become interconnected, allowing them to explore many configurations simultaneously, enabling computational strategies inaccessible to traditional machines. “If classical computers arose from 20th century electronics, quantum computers arose directly from fundamental physics,” he says, underscoring the deep connections between this emerging technology and fundamental scientific research. The recent inauguration of the system at ICSC in Bologna, Italy on June 11 exemplifies this progress. Among them, NOX and SOL are the most advanced quantum infrastructures, and different technological approaches are being pursued.
NOX is a 54-qubit IQM Radiance quantum computer that is integrated with the Leonardo supercomputer and utilizes cryogenically cooled superconducting circuits. Designed for optimization, scientific simulation, and quantum machine learning research. SOL, developed by Pasqal, takes a fundamentally different approach, creating qubits by trapping neutral atoms with a laser system. Pasqal founder Alain Aspect says the technology is at the forefront of quantum innovation. However, realizing the full potential of quantum computing remains a major challenge. Quantum states are fragile and susceptible to ‘decoherence’ due to environmental interactions, requiring innovative solutions to maintain stability. “Solving the decoherence problem will be one of the determining factors for the success of the technologies that researchers around the world are working on,” highlighting the critical need for advances in quantum error correction and control. The race to build a functional, scalable quantum computer is therefore not just an engineering feat, but the culmination of more than a century of research into the fundamental properties of matter and its interactions.
qubits, superposition, quantum entanglement
While artificial intelligence is rapidly moving from science fiction, exemplified by the computer HAL in 2001: A Space Odyssey, to a force transforming modern society, quantum computing represents a parallel revolution rooted in the very laws of physics. The conceptual foundations for this technology were laid decades ago. When Richard Feynman observed that using classical computers to simulate matter at the atomic level quickly became computationally prohibitive. This is not just a theoretical curiosity. This unlocks the potential for exponentially more computing power. ICSC’s June 11 launch of five new systems, including NOX and SOL, exemplifies this commitment to pushing the boundaries of quantum infrastructure.
While NOX is integrated with the Leonardo supercomputer, SOL, on the contrary, takes a different approach, utilizing neutral atoms that are captured and manipulated by a laser system. The technology is used by the same technology family pursued by IBM and Google and is championed by Pasqal founder Alain Aspect. The diversity of technological approaches, such as superconducting circuits, trapped ions, photons, and neutral atoms, is a distinctive feature of the field and reflects the continued search for the most stable and scalable qubit implementations. A major hurdle remains: decoherence, the tendency of quantum states to collapse due to environmental interactions.
According to physicist Alan Aspect, neutral atom technology has two particularly interesting advantages. They are able to control a large number of qubits in a relatively compact space and are highly resistant to decoherence phenomena.
NOX and SOL: Italy’s quantum computing infrastructure
The potential of quantum computing is rapidly moving from theoretical possibility to concrete infrastructure, and Italy now boasts one of the most advanced quantum ecosystems in Europe. These are not incremental improvements to existing technology. They represent fundamentally different approaches to exploiting the laws of quantum mechanics for practical calculations. This collocation is intentional and designed to take advantage of the best of both classical and quantum processing. IQM Quantum Computers, the Finnish company responsible for NOX, has adopted a family of technologies used by industry giants IBM and Google, demonstrating convergence to established methodologies in the field. NOX installation builds on previous work. In May, Politecnico di Turin opened Lagrange, an IQM spark with 5 qubits, demonstrating a step-by-step approach to building national quantum capacity. In contrast to NOX’s superconducting approach, SOL represents a fundamentally different technological path.
This approach uses neutral atoms and offers a unique route to scalability and control. The diversity of approaches, such as superconducting circuits in NOX and neutral atoms in SOL, reflects ongoing exploration in quantum computing. Although the theoretical foundations were laid decades ago by physicists like Richard Feynman and David Deutsch, translating those concepts into reliable hardware remains a difficult challenge. Italy is working on both superconducting and neutral atom technologies, ultimately benefiting from the approaches that prove most viable and fostering a resilient and adaptable quantum future.
Decoherence as a key challenge to qubit stability
The potential of quantum computing depends on harnessing the laws that govern the subatomic world, but maintaining quantum states has proven extremely difficult. While popular depictions often focus on the pure processing power of qubits, the more fundamental hurdle lies in preserving the delicate quantum information itself. A phenomenon known as decoherence can rapidly reduce the stability of qubits, potentially unraveling their computations. Unlike the stable, predictable states of bits in classical computers, qubits exist in a superposition of 0s and 1s, a fragile state that is easily destroyed by environmental noise. This sensitivity stems from the very nature of quantum mechanics. Interactions with the surrounding environment, stray electromagnetic fields, temperature fluctuations, and even vibrations can cause qubits to “decohere,” collapsing their superposition into distinct 0 or 1 states, effectively destroying quantum information.
The speed at which this happens is measured by a parameter called coherence time, and current systems struggle to maintain coherence long enough to perform complex calculations. Researchers are actively exploring various strategies to mitigate decoherence, from isolating qubits in ultra-cold environments to employing error-correcting codes. The ICSC in Bologna, with systems such as NOX and SOL, represents a significant step forward, but even these advanced infrastructures are not immune to these fundamental limitations. Each technological approach to building qubits has its own decoherence problems. NOX utilizes a family of technologies similar to those pursued by IBM and Google, and requires maintaining temperatures near absolute zero to minimize thermal noise. SOL uses neutral atoms and relies on precise laser control and ultrahigh vacuum to protect the qubits from external disturbances. Beyond physical isolation, quantum error correction is emerging as an important tool.
This involves encoding quantum information across multiple physical qubits to create logical qubits that are more resilient to errors. However, implementing effective error correction requires a significant overhead in number of qubits and requires a higher degree of control, further exacerbating the decoherence problem. The continued miniaturization of integrated circuits, while driving advances in qubit manufacturing, can also bring qubits closer together, increasing the risk of unwanted interactions and decoherence. Ultimately, achieving fault-tolerant quantum computation that can reliably detect and correct errors remains a significant scientific and engineering endeavor, requiring innovative materials, control techniques, and algorithms to preserve fragile quantum states long enough to realize the full potential of this revolutionary technology.
