This effect is known as quantum decoherence.Ī recent study published in Nature Physics by British, American and Chinese scientists used a 30-qubit programmable superconducting processor to demonstrate that “quantum information processing applications can be tuned to interact with each other while maintaining coherence for an unprecedented duration.” Error correction is also used, but this technique involved tackling one of the challenges of quantum computing – significantly increasing the number of qubits.īut González is taking an innovative approach to the problem. The slightest environmental change (temperature, electromagnetic noise or vibrations) degrades this property and makes it impossible for quantum computers to effectively perform practical, large-scale calculations. The problem is that this quantum property of superposition is elusive, and can only remain stable for a short time. According to CSIC researcher Alberto Casas, “A quantum computer of 273 qubits will have more memory than there are atoms in the observable universe.” The use of qubits allows trillions of bit combinations and therefore infinite computing possibilities. Superposition is the ability of a quantum system to be in multiple states at the same time until it is measured. It’s a quantum system that can have one of two states (0 and 1), or any superposition of these states. Combinations of bits can provide computers with extraordinary capabilities, but in quantum computing, the basic unit is the quantum bit, or qubit. A bit is binary in that it can only have one of two values: 0 or 1. In conventional computing, a bit is the basic unit of information. His research program has been awarded $20 million in Leonardo grant funding from the BBVA Foundation since 2014. He is combining the novel capabilities of metamaterials (structures with unusual attributes) with the quantum properties of light. Alejandro González Tudela, a research scientist at the Spanish National Research Council’s (CSIC) Institute for Theoretical Physics in Murcia (Spain), is working on a new approach to the problem.
Time has favored the optimists, but quantum physics continues to face the fundamental challenge of increasing computing capacity while reducing error rates. But four years ago, Spanish researcher Miguel Navascués lost a wager because he didn’t believe a 50-qubit quantum computer could be built before 2050. Adán Cabello, from the University of Seville (Spain) is heading to Rome soon to collect on a decade-old bet (a fancy dinner) with a friend about this year’s Nobel laureate in physics. Scientists working on quantum physics in computing have been making friendly wagers for years. Critique of fault-tolerant quantum information processing Robert Alicki References Index.Alejandro González Tudela, research scientist at the Spanish National Research Council’s Institute for Theoretical Physics. Hamiltonian methods in QEC and fault tolerance Eduardo Novais, Eduardo Mucciolo and Harold Baranger 26. Critical Evaluation of Fault Tolerance: 25. Error correction in quantum communication Mark Wilde Part VIII. Experimental dynamical decoupling Lorenza Viola 23. Experimental quantum error correction Dave Bacon 22. Fault tolerant topological cluster state quantum computing Austin Fowler and Kovid Goyal Part VII. Fault tolerant measurement-based quantum computing Debbie Leung Part VI. Fault tolerance for holonomic quantum computation Ognyan Oreshkov, Todd Brun and Daniel Lidar 18.
Holonomic quantum computation Paolo Zanardi 17. Alternative Quantum Computation Approaches: 16. Combinatorial approaches to dynamical decoupling Martin Rötteler and Pawel Wocjan Part V. High order dynamical decoupling Zhen-Yu Wang and Ren-Bao Liu 15. Optimization-based quantum error correction Andrew Fletcher Part IV. Algebraic quantum coding theory Andreas Klappenecker 13. Iterative quantum coding systems David Poulin 12. Non-additive quantum codes Markus Grassl and Martin Rötteler 11. Quantum convolutional codes Mark Wilde 10. Continuous-time quantum error correction Ognyan Oreshkov Part III. Entanglement-assisted quantum error-correcting codes Todd Brun and Min-Hsiu Hsieh 8. Operator quantum error correction David Kribs and David Poulin 7.
Generalized Approaches to Quantum Error Correction: 6. Introduction to quantum fault tolerance Panos Aliferis Part II. Introduction to quantum dynamical decoupling Lorenza Viola 5. Introduction to decoherence-free subspaces and noiseless subsystems Daniel Lidar 4. Introduction to quantum error correction Dave Bacon 3. Introduction to decoherence and noise in open quantum systems Daniel Lidar and Todd Brun 2.
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