Page 12 - Autumn 2024

across long distances. As quantum computing discrepancy from the target position, creating a high
continues to mature, such approaches could computational load. For a full-body multi-joint model
enhance NMR spectroscopy, adding to its powerful with 17 joints, equivalent to the number of joints in the
toolbox for drug discovery and the design of human body, the number of calculations required
advanced materials”. was too great to be able to be solved directly.
Reference: Hookway, P., ‘Google brings Quantum Computing a Step A common approach has been to perform motion
closer to Reality’, Electronic Specifier, 28th. October
calculations with an approximated seven joints,
but this limits the smoothness of the movement.
By leveraging the power of quantum computing,
Quantum-AI Data Centre arrives in New York
however, the orientation and position of each
robot part, or link, are represented by qubits, and
Oxford Quantum Circuits and Digital Realty have
forward kinematics, i.e. calculation of end-effector
opened a pioneering AI data centre in New York’s
position from joint angles, is performed using
JFK10 facility, harnessing the power of NVIDIA’s
quantum circuits. Inverse kinematics calculations
GH200 Grace Hopper Superchips.
are undertaken using classical computers, such that
This data centre marks a significant milestone as it efficient posture control is achieved using a hybrid
quantum-classical combination.
allows Oxford Quantum Circuits’ GENESIS quantum
computer to integrate with the NVIDIA Superchips in
By introducing quantum entanglement, the structure
New York’s inaugural quantum computing system.
whereby the movement of parent joints naturally
influences child joints is reproduced on the quantum
With Digital Realty’s global platform, Platform
DIGITAL®, the centre facilitates secure, interconnected circuit, which significantly improves the convergence
speed and accuracy of inverse kinematics
Quantum AI infrastructure, unlocking considerable
potential particularly across financial and security calculations. A trial calculation showed that motion
calculations for a full-body multi-joint model with 17
sectors.
joints could be executed in around half an hour.
Reference: ‘Quantum-AI Data Centre: Revolutionising Enterprise
Computing in New York’, Data Centre Solutions, 30th. September The new method can express the posture of multi-
joint robots with a small number of qubits, making
it usable even in current noise intermediate-scale
Controlling Robot Posture with Quantum
quantum computers.
Computing
Reference: Miles,S., ‘Trio develop Quantum Computer-based Robot
An innovative method for controlling robot posture Posture Optimisation’, Electronic Specifier, 26th. August
using quantum computing has been developed
by Shibaura Institute of Technology, Waseda
University and Fujitsu.

This facilitates the efficient and accurate calculation
of inverse kinematics, i.e. determining joint angles
from a target end-effector position for multi-
joint robots by leveraging qubit-based position
representation and quantum entanglement.

Verification using Fujitsu’s quantum simulator
achieved up to a 43 per cent error reduction with
fewer calculations than current methods. The
effectiveness of quantum entanglement was also
confirmed through an experiment conducted on the
64-qubit quantum computer developed jointly by
RIKEN and Fujitsu.

By expressing the orientation and position of each
robot link as a qubit, and by replicating the structural
influence of parent joint movements on child joints
through quantum entanglement, the number of
necessary calculations was substantially reduced.

In robot posture control, calculating inverse
kinematics is crucial. For robots with multiple joints,
the possible angle combinations are numerous,
requiring iterative calculations to minimise the

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