Breaking through the boundaries of scalability

For quantum algorithms to be practical and commercially useful, they have to retain the excellent performance of trapped ion qubits and all-to-all connectivity of trapped ion qubits needs to be retained, all while scaling up the number of qubits.

Today’s most common approaches to scaling up are are too slow and have compromised connectivity, and lead to large footprints and engineering complexity.

Setting the stage for truly scalable quantum computing

Our solution makes the most out of the physical system by realizing advanced multi-qubit logic gates employed on dynamically reconfigurable, multi-core quantum processing units (QPUs).

This enables massive entanglement distribution and connectivity, to achieve computation power beyond that of competing solutions.

Incredibly Powerful

Highly Connected

Extremely Compact

Trapped Ion Qubits

Trapped ion qubits are the leading technological platform in quantum computing.

- Natural qubits, with no fabrication variation between qubits.

- Longest coherence time.

- Best fidelity of logical operations.

Ion qubits are electromagnetically trapped in ultra-high vacuum.

They are ionizated, cooled to micro-Kelvin temperatures, and manipulated using lasers.

From qubits to quantum algorithms

Qubit states are defined in a pair of internal energy levels of each ion in the chain. Using lasers we manipulate the qubit logical state to ‘0’, ‘1’, or a quantum superposition of both.

For logic gate operation, where the logical state of one qubit is conditioned on the state of another, we employ common motional modes of the ion chain as a data bus entangling qubits together.

Typical quantum algorithms are made of sequential single-qubit and 2-qubit gates.

As all ions share the same trapping potential in the trap, they are natively all-to-all connected.

This is a unique feature for ion qubits and has significant ramifications for their performance and the implementation of algorithms, and even more so in our proprietary architecture.

Multi-Qubit Gates

Instead of the common approach of operating on single or pairs of ions sequentially, we make the most out of the system by using large- scale gate operations on multiple qubits in one go.

We drive sophisticated multi-tone, multi-mode, laser modulation to all qubits in a register, to realize many pairwise interactions in a single operation.

For registers of tens of qubits, this means driving hundreds, or more, of 2-qubit gates at the same time.

This considerably compresses the algorithm depth and saves a game-changing amount of circuit time.

01

Multi-Cores

Simply enlarging a 1D-ion chain is limited by control complexity and heating due to stronger coupling to the environment.

At Quantum Art, we overcome this by optically segmenting a long ion chain into multiple cores working in parallel and without cross-talk.

The segmentation is done by shining moderate intensity lasers to pinpoint several ions in place,  separating the cores from each other.

Now, each core can employ multi-qubit gates according to the algorithm's needs.

02

Dynamic Reconfigurability

With cores defined by simple lasers, the position of segmentation lasers can now be changed in 
micro-second time.

This dynamic reconfigurability enables massive, many-to-many cross-core qubits connectivity, with hundreds of links in a single reconfiguration step across the multi-core register.

This means that any qubit can now be connected to any qubit in the register — without shuttling or photonic interconnects — in just a few reconfiguration steps.

03

Dense 2d-arrays

With a robust 1000Q-grade register as our building block, we can now combine multiple registers into dense 2D arrays of tens of thousands qubits tiles.

Our architecture supports up to 1,000,000 qubit tile arrays with an incredibly small footprint — allowing for scalability and commercialization, for fault-tolerant quantum computing.

04

Explore the
Possibilities

Discover how different industries are evolving with Quantum Arts’ quantum computing solutions.

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