China

We theoretically investigate the preparation of spectrally-uncorrelated biphotons from a spontaneous parametric down-conversion process using doped PPLN crystals, including MgO, ZnO, and In2O3 doped PPLN with a doping ratio from 0 to 7 mol%. Calculation results show that these crystals satisfy three kinds of group-velocity-matching (GVM) conditions at mid-infrared (MIR) wavelengths. Under the GVM1, GVM2, and GVM3 conditions, the wavelengths are at around 2.5μm, 4.0μm, and 3.2μm, and the corresponding spectral purities are around 0.97, 0.97, and 0.82, respectively. We also calculate the thermal properties of the doped PPLN crystals and their performance in Hong-Ou-Mandel interference. It can be concluded that the doping ratio can be utilized as a degree of freedom to manipulate the biphoton state. The spectrally uncorrelated biphotons can be used to prepare pure single-photon source and entangled photon source, which may have promising applications for quantum-enhanced sensing, imaging, and communications at the MIR range.

Quantum 2020

Mid-infrared spectrally-uncorrelated biphotons generation from doped PPLN

doped ppln crystal

mid-infrared

single-photon source

The Institute of Physics and IOP Publishing, in partnership with the Chinese Physical Society (CPS) and the University of Science and Technology of China (USTC) are proud to have brought together the international quantum science community online for this inaugural conference.


Early career and leading researchers from universities, industry and government worldwide came together to share, learn and collaborate on the latest research and emerging areas of high interest across quantum science and technology. The broad themes covered by Quantum 2020 included:

Quantum communication;
Quantum computing and quantum simulation;
Quantum sensing, metrology and imaging;
Quantum information theory, software and algorithms;
Quantum foundations;
Quantum technology in industry.
The four-day event featured talks from world-renowned scientists, interactive poster sessions and two exciting panel discussions on the themes of Quantum Technology in Industry and Quantum Technology Programmes Around the World.


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The Institute of Physics and IOP Publishing, in partnership with the Chinese Physical Society (CPS) and the University of Science and Technology of China (USTC) are proud to have brought together the international quantum science community online for this inaugural conference.

Early career and leading researchers from universities, industry and government worldwide came together to share, learn and collaborate on the latest research and emerging areas of high interest across quantum science and technology. 

poster

The orbital angular momentum (OAM) is an important degree of freedom for photons because the OAM state can be utilized as a high dimensional information carrier for large-capacity quantum communications. How to recognizing a single -photon-level OAM state with high accuracy in a noisy environment is a very important problem in this scenario. In this research, we use a convolutional neural 
network (CNN) technique to recognize the Laguerre-Gaussian (LG) modes at the single-photon level. Simulation and experimental results show that with the help of deep learning techniques, recognizing accuracy can be greatly improved. This study may shed new light on the OAM based quantum sensing and quantum communications in the future.

Recognizing the OAM state of a single photon using deep learning technique

Metal porphyrazines (Pz) and their analogies for example tetrathiadiazoporphyrazines (TTDDPz) attracted attention due to successful application of these compounds in different field. 
Simulation of the  electronic spectra were carried out  on the base of calculations by TTDFT method using functional B3LYP with pcseg-2 basis set.
 Analyzing the simulated electronic spectra of molecules of the form MClPz and MClTTDPz, we can observe a unsplit Q-band, which is explained by the degeneracy of LUMO and an increase in the symmetry of metalloporphyrazines to D4h relative to their protonated analogs with D2h symmetry. Thus, the molecules under consideration correspond to the Gouterman four-orbital model.
The maximum of the Q-band for MClPz molecules is in the region with a wavelength of 509-511 nm, while for MClTTDPz it is located in the region of 582-590 nm. This can be explained by the influence of the electron-withdrawing substituent (thiadiazole).

Simulation of molecular spectrums of MeClPz and MeClTTDPZ (Me=La, Lu, Y)

Continuous-time quantum computation is a method for solving computational problems that uses qubits which evolve according to a continuous-time Hamiltonian. Adiabatic quantum computing and continuous-time quantum walks are both forms of continuous-time quantum computing which have been found to be especially useful for solving optimization problems. We apply these methods of computation to an optimization problem known as the maximum-2-satisfiability problem (MAX 2-SAT). Although being NP-complete, modern classical algorithms for MAX 2-SAT have been refined to the extent that they are very effective in practice. We explore how the hardness of MAX 2-SAT instances differs for a classical algorithm and the two quantum algorithms. The results we obtain for quantum walks follow what was found previously for the problem of finding spin glass ground states, indicating that there is nothing special about the spin glass problem. We discuss a technique for producing a faster quantum algorithm using rapid quenches [see Callison et al poster & arXiv:2007.11599]. Although the classical algorithm still performs better in this case, there is potential for further improvements that could be made to the quantum algorithms.

Comparing Quantum and Classical Algorithms for MAX 2-SAT

Like their classical counterparts, today’s quantum computers are also easily affected by errors. It is crucial to develop error correction procedures to reduce the effects of the noise in the system. However, the current mainstream error correction codes, like the surface code and toric code, often require a large number of physical qubits, which is not feasible on the NISQ (noisy intermediate-scale quantum) devices where the number of available qubits is limited (< 100 qubits). This work proposed a variational quantum circuit based scheme to discover device-specific error correction codes for the NISQ computing systems in which the encode and recovery (syndrome) layers of our error correction circuit are trained together. Various choices of local optimizers are explored, and performances were compared with each other. We adopted shallow and simple-structured circuits in both encode and recovery layers to alleviate the barren plateau problem in the training of parameterized quantum circuits. The error correction circuit was trained against different kinds of error models, including depolarizing, phase and amplitude damping errors. We adopted a stronger loss constraint. We adopted a stronger loss constraint which, unlike previous attempts, enabled the error correction circuit to achieve higher fidelity on the encoding qubits.

Quantum Error Correction with Shallow Variational Quantum Circuits

We studied the morphology of quantum vortex surfaces in positron-atom ionization collisions. By conducting a detailed calculation of the position of vortices in the final momentum space with no kinematic restrictions, we could analyze the characteristics of the full four-dimensional vortex structure. This is the first time that these structures are fully calculated for positron-atom collisions. Quantum vortices have been scrutinized both theoretically and experimentally over the last decade for the ionization of atomic and molecular targets by the impact of proton, electron, and positron projectiles. Because they are submanifolds of co-dimension 2 on the phase space of the T-matrix element of the collision, they appear as points in two dimensions, lines in three dimensions, and surfaces in four dimensions. A previous exhaustive study of the ionization of atoms for different positron impact energies allowed us to show how these structures emerge in a collinear geometry as pairs of isolated points. In a subsequent work, we proved that many structures that appeared isolated when studied in two dimensions were part of a single vortex ring. In the current study, we were able to trace the full vortex structure surface.

Vortex surfaces in the ionization of atoms by positron impact

Quantum defects in solids have become a leading candidate for potential qubits. This is due to their long coherence times, the ability to read the spin state through monitoring of luminescence, and spin manipulation through microwave irradiation. These defects can be thought of as artificial molecules, as they share similar properties to fluorescent molecules containing transition metal ions. We are investigating single molecule magnets to see if we can manipulate and detect their spin by monitoring their luminescence. This is similar to the nitrogen vacancy center (NV) defect in diamond; however, we would like to find a single molecule which exhibits this behavior. The other avenue of work we are taking is use the NV center as a means of detecting molecules which do not exhibit this spin dependent luminescence. This would be done by measuring the relaxation rate of the NV center in the presence of these molecules while under an externally applied magnetic field. This relaxation would increase when the energy transitions in the molecule and NV center are on resonance from the Zeeman splitting.

Single Molecule Magnets for Spintronics and Quantum Information Processing

We analyse single hole spin interactions of disorder based quantum dots in p-type silicon MOSFET devices at a temperature of T = 2 K. Through the formation of a double-quantum dot system exhibiting Pauli spin-blockade, we characterize the magnetic field dependence of the leakage current to estimate a spin-orbit length of l_so = 300 nm. This provides support for fast electrical control of single hole spin via a strong spin orbit interaction using a readily scalable platform such as industry silicon MOSFET technology for future quantum information processing applications.


Single spin sensing in silicon p-type Metal-Oxide-Semiconductor Field-Effect Transistors


I introduce an energy constrained approximate twirling operation that can be used to diagonalize effective logical channels in GKP quantum error correction, project states into the GKP code space and construct a dynamical decoupling sequence with displacements pulses to distil the GKP stabilizer Hamiltonians from a suitable substrate-Hamiltonian. The latter is given by an LC-oscillator comprising a superinductance in parallel to a Josephson Junction. I find that moderate resources are sufficient to engineer a GKP Hamiltonian without explicit dissipation or qubit-reset. The ideas and techniques developed in this paper are transferable to general quantum systems and provide a novel perspective on (Floquet-) Hamiltonian engineering.

GKP Error Correction: Finite energy twirling and Hamiltonian engineering via dynamical decoupling

Variational Quantum Eigensolver (VQE) circuits are an application of the variational method of quantum mechanics used to solve problems of finding the eigenvalues of Hermitian operators in systems, where the dimension of the problem space grows exponentially. The circuit model is based on the VQE algorithm which uses an ansatze based state preparation technique through the use of parameterized circuits. The important property of such variational form is to be able to span the set of attainable states which is solely dependent on the ansatz and the classical optimizer utilized. We present a study on the various gradient based and gradient free optimizers that can be fitting to this regime and report on the efficiency and accuracy of the overall VQE operation for a standardized problem of calculating the smallest eigenvalues of a given Hamiltonian. We further explore how the effectiveness of such routine is affected by varying circuit depths. We aim to present our results in this conference and discuss how this knowledge can be leveraged to design fault tolerant NISQ era VQE algorithms.

Analysis of Classical Optimization Routines used in the Preparation of Quantum States in Variational Quantum Eigensolver

Detectors of propagating microwave photons have recently been realized using superconducting circuits. However a number-resolved photocounter is still missing. In this poster, we demonstrate a single-shot counter for propagating microwave photons that can resolve up to 3 photons. It is based on a pumped Josephson Ring Modulator that can catch an arbitrary propagating mode by frequency conversion and store its quantum state in a stationary memory mode. A transmon qubit then counts the number of photons in the memory mode using a series of binary questions. Using measurement based feedback, the number of questions is minimal and scales logarithmically with the maximal number of photons. The detector features a detection efficiency of 0.96 ± 0.04, and a dark count probability of 0.030 ± 0.002 for an average dead time of 4.5µs. To maximize its performance, the device is first used as an in situ waveform detector from which an optimal pump is computed and applied. Depending on the number of incoming photons, the detector succeeds with a probability that ranges from 56 % to 99 %.

Next from Quantum 2020

Recognizing the OAM state of a single photon using deep learning technique

Similar lecture

Mid-infrared spectrally pure photons generation from LN optimized by machine learning

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