Recent milestones in quantum computing include storing 1000 bits in a single molecule and running the Grover search algorithm on molecular systems, bringing the field closer to solving real-world computational problems.
Quantum computing takes steps forward. First, we improve our storage ability with 1000 bits in 1 molecule. Then we perform the Grover algorithm using molecules. Now, all that’s needed is a good set of problems to solve.
I recommend an accessible introduction to the fundamentals of quantum computing, covering how qubits and superposition differentiate quantum systems from classical hardware based on resources from the Centre for Quantum Computation.
I explore the convergence of complexity theory and quantum mechanics within the field of quantum information science, highlighting how these disciplines integrate to redefine our understanding of computational limits and fundamental physical systems.
I found this fascinating calculation on the physical limits of computing power based on quantum mechanics. It explores the maximum processing speed and memory capacity allowed by the fundamental laws of physics and thermodynamics.
I examine the rise of commercial distributed computing markets where companies buy idle retail processor time. This model dis-aggregates computing power, enabling resource-intensive initiatives like the Internet Movie Project to be crowdsourced using spare capacity.
I observed IBM’s move into on-demand computing under Sam Palmisano, validating my prediction that tech giants would soon aggregate retail computing power for massive distributed projects, similar to early efforts by Google and Intel.