Quantum computing

Rietsche, Roman; Dremel, Christian; Bosch, Samuel; Steinacker, Léa; Meckel, Miriam; Leimeister, J. M.

doi:10.1007/s12525-022-00570-y

Cited by 48 publications

(14 citation statements)

References 46 publications

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“…Quantum computers include an interference characteristic, which is equivalent to classical physics wave interference [14]. Wave interference takes place when two waves collide within the same medium.…”

Section: Interferencementioning

confidence: 99%

Secure nano-communication framework using RSCV cryptographic circuit in IBM Q

Kundu,

Das,

Debnath

et al. 2023

Phys. Scr.

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In the cryptographic domain, quantum and its real-time hardware simulation make it easier to secure data during communication. Here, using quantum logic, a unique encryption technique called Reversible select, cross, and variation (RSCV) encryption and decryption, which involves swapping input data halves, is shown. In this article using IBM Q, we created a cryptographic encoder and decoder circuit design utilizing various quantum gates. Based on the encoder/decoder circuit, a simple nanocommunication framework is proposed. Further, to explore the application of the noise model, how to utilize this model to create noisy replicas of these quantum circuits to research the impacts of noise that occur for actual device output is shown. To reduce measurement mistakes, measurement calibration is performed using qiskit ignis model. Preparing all 2n basis input states and calculating the likelihood of counting in the other basis states are the key concepts. The percentage improvement we achieved is 40%, 30%, and 30%, respectively, compared to earlier ones, in RSCV encryption, decryption, and RSCV cryptographic communication architecture for fake provider noise error model. It is feasible to adjust the average outcomes of an additional interesting experiment using these calibrations.

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Section: Interferencementioning

confidence: 99%

Secure nano-communication framework using RSCV cryptographic circuit in IBM Q

Kundu,

Das,

Debnath

et al. 2023

Phys. Scr.

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“…A standard must accomplish not only interoperability among banks and countries but also to offers security for possible problems as quantum computing. There are different opinions of when quantum computer would be available but big tech companies as Alphabet, IBM, Microsoft, Ali Baba and others are investing billions in research and development of their quantum computing; also, governments, for example, China invested USD 10 billion in a national quantum computing laboratory, the U.S. government USD 1 billion, and the EU more than EUR 1 billion [12]. With so many major players involved sooner than later quantum computing would be available what would be a big problem for CBDCs.…”

Section: The Environmental Commitments In Financesmentioning

confidence: 99%

Research of the development of Green Central Bank Digital Currency, CBDC

Becerra,

Chaglla,

Valencia

et al. 2023

AEMPS

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The idea of a green central bank digital currency (CBDC) has been mentioned by some institutions such as the Congress of the United States and private companies, but it has not been explained. It is intuitive that this concept refers to a way of issuing or using CBDCs by taking the environment into con- sideration. In this research, it is explored a way that this could work by limiting the CBDC issuance to the total renewable energy production. The paper shows a list of the 40 countries that produce the most renewable energy and compares it with a well-established economic standard, the Total Reserves of Central Banks. For 2018, it was found a correlation among the percentage of the total energy that is produced with green sources and the percentage that could be backed by international reserves if it were the same thing. This correlation is presented as a pa- tron that can be use by Central Banks in order to take environment in to consideration and to calculate how much of a CBDC can be issued by central banks as a standard.

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“…Today, major technology companies such as IBM, Google, and Microsoft are actively investing in and developing quantum computer technologies [5].…”

Section: Introductionmentioning

confidence: 99%

A Simulation of Hydrazine Molecule’s Potential Energy Surface using Variational Quantum Eigensolver Algorithm

Gomosma,

Agusta,

Dipojono

2024

J. Phys.: Conf. Ser.

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Quantum computing is a technology that utilizes the principles of quantum mechanics to perform complex computational processes. In this work, we use Qiskit Module from IBM to do quantum computational calculation using Variational Quantum Eigensolver (VQE) algorithm. VQE is a hybrid quantum-classical method that combines a quantum computer to measure energies and a classical computer to process the measurement results and update the parameters of the quantum computer. The purpose of VQE is to find the ground state energy of a chemical system. In the previous study, many of the VQE calculations have been done on simple molecules. So, in this study, we would like to use Hydrazine molecule as our object of VQE calculation. Furthermore, these results will be compared with the results from the classical calculation (MP2, CCSD(T), QCISD(T), and CASSCF) methods for testing the effectiveness of VQE using Unitary Coupled-Cluster Single and Double excitations (UCCSD) Ansatz. The quantum algorithm based on the UCCSD Ansatz led to a simplification of the algorithm by reducing the circuit depth. Then, the possibility to use active space approximation, can be used to reduce the quantum gates while trying to keep a good level of accuracy. In this study, we chose (2,2) and (4,4) active spaces. Based on the results, as we increase the size of the active space during the evaluation of the single-point energy, the estimated ground states obtained from the VQE algorithm yield nearly identical values. Conversely, in CASSCF calculations, expanding the active space introduces more energy corrections, thus making it more sensitive. Additionally, when examining potential energy surfaces, VQE demonstrates results that gradually align with CCSD(T) and QCISD(T) methods.

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Quantum computing

Cited by 48 publications

References 46 publications

Secure nano-communication framework using RSCV cryptographic circuit in IBM Q

Secure nano-communication framework using RSCV cryptographic circuit in IBM Q

Research of the development of Green Central Bank Digital Currency, CBDC

A Simulation of Hydrazine Molecule’s Potential Energy Surface using Variational Quantum Eigensolver Algorithm

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