You built a targeted list of Quantum Computing Academics in the UK using Origami's AI agent. Now you need to move them into a LinkedIn outreach sequence. Origami has a built-in LinkedIn sequencer — you can find, qualify, and sequence your outreach from one platform without switching tools. Here's exactly how to run a high-converting LinkedIn campaign for this niche audience in 2026.

Step 1: Build the List in Origami (Recap)

If you haven't built your prospect list yet, pause here. Grab the exact prompt and walkthrough from our parent guide: how to build a list of Quantum Computing Academics in the UK.

When you're inside Origami, you type a single plain-English prompt. For this audience, it looks like:

"Find quantum computing academics at UK universities. Include professors, research fellows, PhD supervisors, and group leaders working in quantum information, quantum algorithms, superconducting qubits, trapped ions, photonic quantum computing, and related areas. Return verified emails, LinkedIn profile URLs, job titles, and institution names. Exclude anyone outside the UK."

Origami searches the live web, chains data sources, enriches contacts, and qualifies leads automatically. In minutes, you get a clean prospect list with:

Full name
Academic title (Professor, Reader, Research Fellow, etc.)
Institution and research group name
Verified email address
LinkedIn profile URL
Research focus areas and publication keywords
Publicly sourced phone numbers (where available)

All this works on the free plan — 1,000 credits, no credit card needed. That’s enough to enrich up to 1,000 leads for your first campaign.

Step 2: Refine and Qualify Your List for LinkedIn Outreach

A generic list of "UK quantum academics" will burn your connection limit and get you ignored. You need to segment ruthlessly before any sequence launches.

Remove Non-Hitters

Scan the enriched profiles inside Origami and filter out:

Non-UK institutions: Even with a .ac.uk email, some researchers are based in overseas campuses. If your engagement must be UK-only, verify location via LinkedIn.
Adjuncts and visiting staff: They rarely have budget or influence.
Students (PhD candidates without group leadership): If you’re selling to lab heads or PIs, students can muddy your sequence and waste impressions.

Segment by Role and Research Closeness

Once the chaff is out, segment the remaining leads into actionable buckets. For quantum computing academics, these usually work:

Segment	Definition	Why It Matters
Group Leaders (PIs)	Professors, Readers, Senior Lecturers leading a quantum research group.	They control lab purchases, industrial partnerships, and grant funding.
Core Researchers	Research fellows, senior postdocs with a track record and independent grant prospects.	They influence PIs and often manage day-to-day tooling decisions. They’re also future PIs.
Quantum Software / Theory Leads	Academics focused on algorithms, error correction, or compilation.	They’re ideal for software tooling, cloud access, and consulting-style collaboration.
Experimentalists (Hardware)	Academics running physical qubit labs (superconducting, trapped ions, photonics).	They need hardware diagnostics, fabrication partnerships, and dedicated quantum compute time.

Look for keywords in their research descriptions that Origami surfaces: “superconducting qubits,” “fault-tolerant,” “QEC,” “NISQ,” “quantum simulation,” “trapped ions.” Match those phrases to the solution you’re offering.

What “Qualified” Looks Like Here

A qualified lead for a LinkedIn outreach campaign to UK quantum academics passes three gates:

Location: Verified UK-based (institution, LinkedIn location).
Role alignment: PI or senior postdoc/fellow with decision-making influence.
Relevance fit: Their research tangibly intersects with what you sell (hardware access, software tools, collaboration funding, consulting).

Aim for 150–200 qualified leads before hitting send. You can start with fewer, but that sample size will let you test messaging properly.

Step 3: Create the LinkedIn Outreach Sequence

Here’s the engine of the guide: the actual messages. Origami gives you two paths to build the sequence.

Option 1: Paste Your Own Templates Write your own 3-touch sequence. You type (or copy-paste) the connection request note, follow-up message 1, and final message directly into the sequencer. Set the delays between touches — I recommend a cadence of Day 1, Day 3, Day 7 — and hit “Launch.”

Option 2: Let the Agent Write It If you’d rather not craft templates, ask Origami's AI agent to generate a personalized 3-day LinkedIn sequence for all your leads. The agent writes the messages based on each lead’s actual data — title, company (institution), research area, publication keywords — so every touch feels custom. I’ve tested both paths. For a niche like quantum academics, I start with agent-generated drafts, then manually tweak the tone to match my voice.

Below is a fully baked 3-touch sequence you can steal and paste directly. Every message targets UK quantum computing academics, references real pain points, and stays under 100 words.

Day 1: Connection Request + Note

Character limit: 300. Keep it research-aware, not salesy.

Subject line for your connection note (visible in the invitation): (No formal subject field on LinkedIn, but the note itself is what they see. Treat the first line as your hook.)

Hi , I’ve been following your group’s work on at . Your recent output on practical quantum error mitigation caught my eye — really smart approach. I’m connecting with UK-based academics pushing the boundaries of fault-tolerant quantum computing. Would be great to stay in the loop. –

Why it works: It shows you’ve done your homework (use the enriched field `` from Origami), names a genuine compliment tied to their work, and frames the connection as peer-to-peer interest, not a pitch.

Day 3: Follow-Up Message 1 — Value Angle

Send 2 days after they accept your connection request. No “thanks for connecting” fluff; lead with relevant value.

Subject line for the follow-up message:

Your work on and what we’re seeing in industry

Message:

Hi ,

I’ve been talking to a few quantum groups at Russell Group universities, and a pattern keeps emerging: access to dedicated quantum hardware is still the biggest bottleneck for moving from simulation to real-world validation.

If your group has been hitting compute limits, I might be able to help connect you to dedicated error-corrected qubit access and potential industry-funded pilots.

Happy to share how similar labs are making it work.

Word count: ~75
No links, no PDFs. You’re opening a conversation, not sending a brochure.

Day 7: Final Message — Soft Close

Wait 4 days after the first follow-up. Keep it light; you’re giving them an out while still opening a door.

Subject line for the final message:

Quick check-in – any interest in exploring a collaboration?

Message:

Hi ,

I won’t keep beating the drum. If expanding your group’s quantum compute access (or exploring an industry-collaboration pilot) is on your radar, I’d be glad to chat about what that could look like — no strings.

Either way, I’ll keep an eye on your group’s publications. Really impressive work.

Best,

Customization Notes

Replace `` with the keyword that actually shows up in their Origami enrichment. The more specific, the better — “trapped-ion qubit gates” lands harder than “quantum computing.”
If you’re selling software, tweak the angle to “quantum algorithm development and emulation.”
If you’re a recruiter looking for talent, the sequence shifts slightly — but the research-aware hook stays the same.

Step 4: Send the Sequence Directly from Origami

Once your sequence is ready, you launch it inside Origami — no CSV exports, no LinkedIn Sales Navigator sync, no third-party automation tools. The built-in LinkedIn sequencer fires off connection requests and follow-up messages automatically, with the delays you set.

What Happens After You Hit “Launch”

Sending & Tracking
Origami sends invites and messages through your LinkedIn account, respecting the timing you configured. In the same dashboard where you built the list, you see real-time metrics: connection acceptance rate, message open rates, reply rates, and link clicks (if you ever add a link). Every touch is logged against the contact’s timeline.
Prospect Context Stays Live
While you’re looking at a contact’s sequence activity — did they accept? Did they open Message 2? — you can still view their full enriched profile right there. You see their exact title, institution, research keywords, and the tools their university uses (where publicly sourced). So you never forget why you reached out.
Automatic Un‑enrollment
If a contact replies to any message, Origami immediately pulls them out of the sequence. No risk of sending a “just circling back” message the day after they’ve booked a meeting. You get a notification, and the conversation moves to manual follow-up.

One Platform, End to End

This is the real power move for 2026: find your prospects, enrich them, build a sequence, send it, and track responses — all inside Origami. No exporting, no syncing between tools, no broken workflows when a prospect moves from “lead” to “engaged contact.”

The LinkedIn sequencer is included on all paid plans. You don’t pay to send messages; you only pay for the credits you use to enrich leads. The sending piece is free. The free plan gives you 1,000 credits to get started, no credit card required.

What Response Rates to Expect

For UK quantum computing academics in 2026, here’s what my campaigns and those of peers are yielding:

Connection acceptance rate: 35–45% if your note is research-aware and your LinkedIn profile looks credible (university alumni, relevant headline). Generic notes drop that to under 20%.
Reply rate to follow‑up messages: 12–18% among those who accepted. The academics who reply are usually PIs or senior fellows actively seeking partnerships.
Meeting‑booked rate from replies: around 30–40% if your offer is genuinely relevant to their compute needs or grant cycles.

These numbers assume you’ve done the list refinement from Step 2 and are targeting group leaders and core researchers, not students or emeritus professors.

If your acceptance rate is low, revisit your connection note and make sure you’re using dynamic fields like `` instead of a static blurb. If replies dry up after acceptance, test different value propositions in Message 2 — for quantum academics, “hardware access” and “industry pilot funding” consistently outperform “software demo.”

When to Iterate on Messaging vs. Iterate on the List

After your first 100 touches, you’ll have enough data to decide where the bottleneck lives.

Iterate on messaging when:
Acceptance rate is healthy (>30%), but reply rate is low (<10%). Your connection note works; your follow-up message doesn’t. Try a different angle (hardware access vs. talent pipeline vs. collaboration funding) in Message 2.
Iterate on the list when:
Acceptance rate is under 20% despite a solid note. This usually means your list is too broad — you’re hitting researchers who aren’t active on LinkedIn, or you’ve included too many PhD students. Go back to Origami, refine the prompt, filter by seniority keywords (“professor”, “group leader”, “principal investigator”), and re-enrich.
Iterate on both when:
You get decent acceptance and reply rates, but the meetings you book are with researchers who can’t make purchasing decisions. That’s a qualification problem. Tighten your list to only PIs and senior fellows, and adjust the soft‑close message to ask directly: “Is this something you’d be the decision-maker for, or would you recommend I speak with your lab director?”

Rotate Your Device

LinkedIn Outreach for Quantum Computing Academics in the UK: A Tactical 2026 Guide