INTEGRATED PHOTONIC DEVICE COMPRISING A FIELD-PROGRAMMABLE PHOTONIC GATE ARRAY, A QUANTUM DEVICE AND PROGRAMMABLE CIRCUITS

Abstract

The present invention relates to an integrated photonic and quantum system carried out by the combination and interconnection of Programmable Photonics Processing Blocks, implemented over a photonic chip that is capable of implementing one or multiple, simultaneous quantum and classical circuits with optical feedback paths and/or linear multiport transformations, by the appropriate programming of its resources and the selection of its input and output ports. The invention also relates to a quantum field-programmable photonic gate array (Q-FPPGA) comprising at least one programmable circuit based on tunable beam-splitters with independent coupling and phase-shifting configuration and peripheral high-performance building blocks enabling classical and quantum operations.

Claims

1. A quantum field-programmable photonic gate array, Q-FPPGA characterized in that it comprises: a reconfigurable quantum field-programmable photonic gate array core, and at least a quantum high-performance building block (QHPBB), wherein at least a quantum high-performance building block (QHPBB) is connected to the reconfigurable quantum field-programmable photonic gate array core.

2. The quantum field-programmable photonic gate array (Q-FPPGA) according to claim 1, wherein at least one quantum field-programmable photonic gate array (Q-FPPGA) further comprises at least one optical port and/or at least one high-performance building block (HPBB) connected to the reconfigurable quantum field-programmable photonic gate array core.

3. The quantum field-programmable photonic gate array (Q-FPPGA) according to any of the claim 1 or 2, wherein at least one quantum field-programmable photonic gate array (Q-FPPGA) further comprises at least one programmable photonic analogue block (PPAB) implemented by way of a series of photonic waveguide elements integrated in a photonic chip.

4. The quantum field-programmable photonic gate array (Q-FPPGA) according to claim 3, comprising at least two interconnected programmable photonic analogue blocks (PPABs) that are equally-oriented and are disposed following a uniform pattern.

5. The quantum field-programmable photonic gate array (Q-FPPGA) according to claim 4, wherein the uniform distribution pattern is one selected from a hexagonal uniform waveguide mesh distribution, a square uniform waveguide mesh distribution and a triangular uniform waveguide mesh distribution.

6. The quantum field-programmable photonic gate array (Q-FPPGA) according to claim 3 comprising at least two interconnected programmable photonic analogue blocks (PPABs) that are equally-oriented and are disposed following a non-uniform pattern.

7. The quantum field-programmable photonic gate array (Q-FPPGA) according to claim 2, wherein at least one high-performance building blocks (HPBBs) is one selected from highly dispersive elements, waveguide delay lines, generic modulation elements and photo detection subsystems, optical amplifiers and source subsystems and high-performance filtering structures, multiplexers and demultiplexers.

8. The quantum field-programmable photonic gate array (Q-FPPGA) according to any claim 2, wherein at least a quantum high-performance building block (QHPBB) is one selected from quantum sources, detectors, processing units, and detectors.

9. The quantum field-programmable photonic gate array (Q-FPPGA) according to claim 2, wherein it further comprises multiple and independent processing cores interconnected to each other and to the high-performance building blocks (Q-HPBB, HPBB).

10. An integrated photonic and quantum device implemented via a photonic circuit integrated in a chip substrate, characterized in that it comprises: a physical layer comprising at least a quantum field-programmable photonic gate array (Q-FPPGA) of any one of the previous claims; a control electronic layer; and a software layer.

11. A programmable quantum circuit comprising an integrated photonic and quantum device according to claim 10.

12. The programmable quantum circuit of claim 11, wherein the circuit is based on a ring resonator or a Mach-Zehnder interferometer (MZIs).

13. A method of design of the programmable quantum circuit of those mentioned in claim 11 or 12, characterized in that it comprises the following steps: election of an initial application to be implemented; processing of an area or performance of the programmable quantum circuit; mapping and transfer of the application into a compatible circuit of quantum field-programmable photonic gate array (Q-FPPGA) processing blocks.

14. The method of claim 13 wherein the step of mapping/transferring/configuring the application into a compatible circuit of quantum field-programmable photonic gate array (Q-FPPGA) processing blocks further comprises: a first selection step wherein parts of the circuit are implemented by means of integrated circuit elements; an interconnection step wherein the circuit elements are connected, an assignation step wherein each processing block is assigned to a specific location in the quantum field-programmable photonic gate array (Q-FPPGA), a second selection step wherein processing blocks that operate as access lightpaths are selected.

15. The method of claim 14 further comprising: the circuit performance calculation and design verification step.

16. The method of claim 15 wherein the circuit performance calculation and design verification step is carried out physically by feeding all the necessary configuration data to the programming units to configure the chip or by employing accurate models of the quantum field-programmable photonic gate array (Q-FPPGA).

17. The method of any of claims 13 to 16 wherein the steps are carried out automatically by the software layer, by the user, or a mixture of the two, depending on the autonomy and the capabilities of the quantum field-programmable photonic gate array (Q-FPPGA).

Description

DESCRIPTION OF THE DRAWINGS

[0028] In order to complement the description being made and with the object of helping to better understand the characteristics of the invention, in accordance with a preferred practical embodiment thereof, said description is accompanied, as an integral part thereof, by a set of figures where, in an illustrative and non-limiting manner, the following has been represented:

[0029] FIG. 1 shows a general scheme of the Q-FPPGA architecture and a detail of the three tiers that describe the architecture physically and from a software perspective.

[0030] FIG. 2a shows non-limitative examples of a schematic diagram for the embodiment of the Q-FPPGA core, (a1): Conventional hexagonal uniform distribution, (a2): proposed equally-oriented unit layout.

[0031] FIG. 2b shows non-limitative examples of a schematic diagram for the embodiment of the Q-FPPGA core, (b1) Conventional square uniform distribution, (b2): proposed equally-oriented unit layout.

[0032] FIG. 2c shows non-limitative examples of a schematic diagram for the embodiment of the Q-FPPGA core, (c1): Conventional triangular uniform distribution, (c2): proposed equally-oriented unit layout.

[0033] FIGS. 2d-e show some non-limitative examples of a schematic diagram for the embodiment of the Q-FPPGA core with equally-oriented tunable basic units and following a non-uniform pattern.

[0034] FIG. 3 shows a non-limitative classification of the different classical and quantum devices present in the Q-FPPGA architecture.

[0035] FIG. 4 (left) shows the main steps involved in the design/configuration flow of the integrated photonic and quantum system of the present invention, and (right) the soft and hard tiers of the photonic circuit and expanded layout including peripheral high-performance elements.

[0036] FIG. 5 shows the simultaneous implementation of a classical ring cavity circuit, a Mach-Zehnder Interferometer and a 3×3 multiple port device using a reconfigurable Q-FPPGA core of the chip of the present invention.

[0037] FIG. 6 shows in the left part a non-limitative example of the implementation of a quantum circuit with verification paths (in this case a CNOT gate).

[0038] FIG. 7 shows a non-limitative example of the implementation of a switched or simultaneous resource-shared set of programmable quantum circuits.

[0039] FIG. 8 shows a non-limitative example of the simultaneous implementation of an independent set of quantum circuits. Each circuit uses its own resources.

[0040] FIG. 9 shows a non-limitative example of a programmable quantum circuit corresponding to a Quantum Fourier Transform.

[0041] FIG. 10 (left) shows an example of simultaneous configuration of quantum and classical circuits, and (right) the layouts of the implemented circuits.

PREFERRED EMBODIMENT OF THE INVENTION

[0042] An exemplary embodiment of the invention according to the figures shown is described below. In FIG. 1, a Q-FPPGA is seen which comprises at least one, but preferably a large number of programmable photonic analogue blocks (PPAB) implemented by way of a series of waveguide elements integrated in a photonic circuit. These blocks have programmable characteristics and can propagate the optical signal in both directions. The design in FIG. 1 does not consider any particular interconnection topology for the Q-FPPGA core and that the resulting design shown there is only for the purposes of illustration. FIG. 2 illustrates different alternatives and interconnection geometries designed for the implementation of the Q-FPPGA core. Although various configurations for implementing the PPAB may be considered, here we are illustrating the design with very basic 4-port units, as described in U.S. Ser. No. 16/235,056, JP 2018-247546, P201930410, P201831118, hereby included by reference. The function of the PPAB is to provide independent tunable power coupling relations and adjustable phase response configuration, as explained below. Overall, the waveguide mesh performs dynamic routing or switching between the different Q-FPPGA ports and areas and between the classical and quantum high-performance building blocks.

[0043] Similar to modern FPGA families, Q-FPPGA can include classical and quantum high-performance processing blocks (HPB, QHPB) to expand its capabilities and include higher-level functionality connected to the chip core. This is shown schematically in the right part of FIG. 1. Having these functions and high-level blocks embedded into the chip reduces the area required for those functions compared to its implementation via basic blocks of the core. Moreover, some of the functions cannot be divided and programmed by using the core exclusively. Examples of these processing blocks include highly dispersive elements, spiral delay lines, generic modulation and photo detection subsystems, optical amplifiers and optical source subsystems and high-performance filtering structures to cite a few. A special case of HPB comprises an element interconnected to the optical core, which comprises a multiplexed and demultiplexed subsystem, either of which can be spectrally cyclic or non-cyclic, enabling the processing on different spatial channels/modes as well as different spectral channels/modes. However, the main technical advance comes from the interconnection of Quantum HPBs. These provide quantum functionalities that can be divided, distributed and programmed efficiently within the Q-FPPGA core, in addition to being combined with HPBs and QHPBs, as quantum sources, detectors, processing signals, and ancilla detectors, to cite a few. FIG. 3 provides a non-limiting example of components present in the Q-FPPGA.

[0044] The PPABs are 2×2 photonic blocks or components capable of independently configuring a common phase shift Δ.sub.PPAB and optical power splitting ratio K=sin □ (0<=K<=1) between its waveguide input and output access fields.

[0045] By means of the specific programming and the concatenation of processing blocks, the Q-FPPQA can implement complex autonomous and/or parallel circuits, signal processing transformations and quantum processing operations by splitting conventional optical processing circuits into reconfigurable photonic interconnects (RPIs) and PPAB units and through the use of high-performance processing blocks. In particular, the concept of programming the Q-FPPGA core is illustrated by means of three generic designs, which are represented in FIGS. 5, respectively. FIG. 5(a) shows how the configuration of each processing block leads to the programming of two optical filters based on a ring resonator and a Mach-Zehnder Interferometer. FIG. 5(b) shows the programming of a Q-FPPGA core to obtain a multiport interferometer.

[0046] The quantum field-programmable photonic gate array (Q-FPPA) according to the invention is an array of uncommitted elements that can be interconnected according to the user's specifications configured for a wide variety of classical and quantum applications. The Q-FPPGA combines the programmability of the most basic reconfigurable photonic integrated circuits and quantum processing components in a scalable interconnection structure, allowing dynamic programmable circuits a with much higher processing density. Thus, programming complex circuits comes from the interconnectivity. Our proposed invention solves some of the problems associated with quantum circuits. Quantum and classical circuits are programmed employing shared resources integrated in the chip, leading to advantages inherent to direct (or field) programmable hardware approaches: shorter times for producing, developing and taking a solution to market, shorter prototype development times and non-recurring engineering costs, reduced financial risk in developing ideas and translating them into ASPICs, multifunctional and multitask operation, circuit optimization, better yield and reproducibility of the PPABs. Compared to the FPPAs or reconfigurable photonic circuits, the present invention incorporates dynamic quantum signal processing thanks to the aggregation of high-performance processing blocks and the design of the workflow and architecture.

[0047] The left part of FIG. 4 shows the main steps of the design flow process, which is now described. Similar to the photonic FPPA, the starting point for the design flow is the entry of the application to be implemented. In this case they can be both classical and/or quantum applications. The specifications are then processed by an optimization procedure to enhance the area used and the performance of the final circuit. Then, specifications are transformed into a compatible circuit with the elements included in the Q-FPPGA (technology mapping process), optimizing attributes such as delay, performance or the number of elements used.

[0048] The technology mapping phase transforms the optimized network into a circuit that consists of a restricted set of Q-FPPGA elements. This is done by selecting components and parts of the network that can each be implemented by the elements available in the Q-FPPGA, and then specifying how these elements will be interconnected. This will determine the total number of processing components required for the targeted implementation.

[0049] Then, a decision about the placement of the different parts of the circuit follows, assigning each one to a specific location in the Q-FPPGA. At that moment, the global routing is responsible for choosing the processing elements that will operate as access paths. In contrast to an electronic FPGA, this structure does not physically differentiate between the processing elements and interconnection elements. Subsequently, the processing elements are configured correspondingly and performance is calculated and the design is verified. This process can be done either physically by feeding all the necessary configuration data to the programming units to configure the final chip or by employing accurate models of the Q-FPPGA. At each step, it is possible to run an optimization process that might decide to re-configure any of the previous steps.

[0050] From the aforementioned description, it can be appreciated that the Q-FPPGA involves not only the physical photonic and electronic control hardware, but it also includes a software layer (see upper right part of FIG. 1 and FIG. 4).

[0051] The steps contained in the design flow can be done automatically by the software layer, by the user, or by a mixture of the two, depending on the autonomy and the capabilities of the Q-FPPGA. In addition, a failure in any of the preceding steps will require an iterative process until the specifications are successfully met. A parallel optimization process provides a robust operation, in addition to the capacity to tolerate malfunctions and manufacturing defects and increasing the processing capacities of the physical device.

[0052] In addition, the Q-FPPGA can incorporate multiple and independent cores that can be interconnected to each other and to high-performance processing blocks to increase their processing capacity. These waveguide cores can be integrated in the same substrate or in different chips.

Operation Examples

[0053] FIGS. 6 to 10 provide some examples where different types of Q-FPPGA of are programmed to emulate and implement simultaneously different quantum photonic circuits. The examples are representative of the capabilities and do not intend to be exhaustive. They rather show simple configurations, which can be extended to more complex circuits. In these layouts, only the relevant components such as I/O ports, HPBs and QHPBs are shown. In each case, the figure includes the Q-FPPGA layout with highlighted operating PPABs in the waveguide core and the layouts of the different implemented circuits.

[0054] FIG. 6 represents an operation case where the Q-FPPGA is programmed to implement quantum gates. The case illustrated here corresponds to a C-NOT gate with a layout shown in the right part of the figure), where the input state and the heralded photons are generated by QHPBs that generate photon pairs via non-linear effects such as Spontaneous Four-Wave Mixing (SFWM) and the output state and the heralded photons are detected by means of specific QHPB blocks that implement photon counters. The programmable mesh waveguides implement two tasks, the filtering of one of the two photons generated by SWFM and the linear unitary transformation that implements the CNOT gate. The QHPBs should ideally be on the same chip, but they can be located externally, in the Q-FPPGA by means of hybrid or heterogeneous integration. Note that the unused HPB blocks and the input and output ports of the Q-FPPGA not employed in this case are not shown for simplicity. Moreover, more complex circuits can be implemented by extending the shown concept and using a greater percentage of resources, components and mesh portion, as well as extra QHPBs implementing additional sources and detectors.

[0055] FIG. 7 illustrates the operation in switched mode. Here two or more circuits are programmed over the available sources in the Q-FPPGA that shares common QHPBs in this case and specifically the independent photon sources. The example shows a triangular boson sampler and a Hadamard gate, the implementation of which is shown in the upper right part and lower right part, respectively. Both circuits share QHPBs that generate photon pairs via SFWM, as well as a common part of the core formed by the waveguide mesh to implement the corresponding linear transformations thereof. Switching is performed by tuning the Programmable Photonic Analog Blocks (PPAB) inside the waveguide mesh to select the operation of one or another circuit. Photon detection is performed in this example by unshared QBPBs.

[0056] FIG. 8 illustrates the operation in shared mode where two or more circuits are simultaneously configured over the physical device defined by the waveguide mesh and the peripheral blocks. In this specific case, QHPBs are employed for the preparation and detection of the input and output signals, respectively, and different sections of the waveguide mesh are used to implement the required photon filtering and linear unitary transformations. The two circuits are in this case a Hadamard gate and a cascade of gates corresponding to the X, Y, and Z rotation transformations. The QHPB implementing the initial state of the Hadamard gate are photon pair sources requiring post filtering, while those implementing the initial state of the rotation cascade matrices are single photon sources.

[0057] FIG. 9 illustrates the case where a state or quantum mode (of dimension N) is entered into the input to the QFPGA by means of one of the I/O ports. Here the QFPGA is programmed to carry out a simple linear transformation and no additional QHPBs are used unless the final state needs to be measured. For instance, the example in FIG. 9 represents the implementation of a Quantum Fourier Transform operation. Finally, FIG. 10 shows an example of a mixed classical and quantum signal operation. Here part of the core formed by the waveguide mesh implements a quantum gate (rotation array cascade), while another part implements a classical coupled-cavity filter (CROW) to process the classical signal generated by using the two HPBs that consist of an integrated DBF laser and an external modulator.

Physical Implementation

[0058] The physical implementation of the Q-FPPGA device calls for an integrated optics approach either based on silicon photonics technology or other materials of group IV or by means of hybrid/heterogeneous combinations together with other materials such as those from group III-V.

[0059] As for the PPAB elements, the currently available integrated photonics technology options allow for the integration of phase tuning elements like: MEMS, thermo-optic effects, opto-mechanic effects, electro-capacitive effects, phase change materials or non-volatile actuators. These phase actuators are integrated in any interferometric or non-interferometric, resonator or non-resonator structures with more than two ports. Finally, as mentioned before, more complex Q-FPPGA layouts can be designed by setting different block interconnections schemes. Some examples are shown in FIG. 2.

[0060] As described in FIG. 1, the physical device (hardware) corresponding to the integrated optical circuit requires the system integration with control electronics to perform the programming tasks of the opto-electronic actuators and to perform tasks and global optimizations of the circuit.